Turning complex data into compelling business narratives and intuitive stories.

• Combines strong analytics, data extraction and Power BI expertise with visualization excellence and business storytelling.

• Explores enterprise datasets to identify patterns, performance drivers, risks and opportunities across Global eCommerce.

• Shapes decision-ready dashboards, reporting views, insight packs and analytical narratives for senior leaders and global stakeholders.

• Supports consistent KPI interpretation and reporting standards while making complex information simple, intuitive and actionable.

EXPLORE - Extract, combine and investigate data to uncover meaningful trends, relationships and performance drivers.

VISUALIZE - Design intuitive and aesthetically strong reporting experiences that simplify complex information.

STORYTELL - Translate analytical findings into concise “what, why, so what, now what” narratives for senior leaders.

ENABLE - Provide trusted, reusable performance views and insights that improve clarity, alignment and decision speed.

KEY RESPONSIBILITIES:

DATA ANALYSIS & INSIGHT GENERATION

• Investigate trends, deviations, risks and opportunities across commercial, customer, marketing, merchandising, CRM and operational KPIs.

• Support recurring performance analysis and ad-hoc business queries with rigorous analytical problem-solving.

• Define the KPI architecture, OKRs and measurement logic for Global E-commerce; drive market adoption, adherence

DATA STORYTELLING

• Translate complex analytical findings into concise, executive-ready narratives.

• Explain the “what, why, so what and now what” behind performance through compelling visuals and business context.

• Prepare insight packs and leadership materials that highlight drivers, implications, risks and opportunities.

VISUALIZATION & REPORTING

• Shape high-quality Power BI dashboards, reporting views and visual frameworks that improve stakeholder understanding.

• Apply strong information hierarchy, visual design, usability and accessibility principles.

• Ensure analytical outputs are intuitive, scalable, consistent and suited to the intended audience.

DATA & ANALYTICS COLLABORATION

• Work with Data Intelligence, BI, Data Engineering, Commercial Analytics and global COE stakeholders.

• Support KPI consistency, reporting standards, data-quality reviews and analytical alignment.

• Clarify business questions, data assumptions, limitations and interpretation for stakeholders.

EXPERIENCE REQUIREMENTS:

• 5–7years in Consulting, Data Analytics, Business Intelligence, Reporting, Visualization, Insights or a related discipline.

• Strong experience with Power BI/ business-facing dashboards and enterprise reporting environments.

• Hands-on proficiency in SQL, structured datasets, data extraction and analytical concepts.

• Demonstrated ability to transform complex findings into executive-ready visualizations and narratives.

• Experience with data infrastructure, semantic models, KPI governance or automation is advantageous.

• Experience in Management/Strategy consulting (or) eComplatforms or digital-first businesses is preferred

About the Organisation & Role:

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Quality Engineer, you will validate the membership and loyalty capabilities and integrations with core commerce systems. You will be responsible for creating and validating functional and automation test scripts. Working closely with the Lead Engineer, Product Owner and Engineering Manager, you will ensure that the delivered membership capabilities meet the requirements to provide superior consumer experience.

What you will do:

• Design and execute functional, integration, API and automated tests for membership and loyalty capabilities.
• Build and maintain automated test suites covering API, integration, functional and end-to-end testing.
• Partner with Lead Engineers, Software Engineers and Product Owners to embed quality throughout the software development lifecycle.
• Validate loyalty points accrual, redemption and personalized recommendations for members.
• Lead the team of quality engineers in the loyalty and personalization area
• Create and manage test data and validation scenarios for member consumer experiences.
• Ensure a consistent and reliable experience across browsers, devices and digital consumer journeys.
• Leverage AI-assisted quality engineering tools and practices to improve test coverage, regression efficiency and defect detection.
• Continuously improve automation coverage, test reliability and quality engineering practices.

• 7+ years of experience in testing large-scale distributed backend systems on cloud-native platforms related to membership and loyalty capabilities.
• Hands-on experience with Playwright (Preferred), Cypress, Appium or equivalent tools.
• Experience in defining the test strategy for loyalty management applications
• Experience in API Testing and Contract Testing.
• Experience in Test Data Management.
• Experience in validating membership and loyalty related capabilities.
• Ability to define A/B testing approach.
• Experience in cross-browser testing and tooling (BrowserStack or equivalent) is preferred.
• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.

Experience in eCommerce, retail, or consumer digital products is strongly preferred.

The analytical engine that powers commercial decision-making across Global eCommerce.

• Conducts deep-dive analysis across merchandising, pricing, promotions, demand, marketing, CRM, content,supply chain,customer behavior and purchase performance.

• Identifies performance drivers, quantifies opportunities and investigates business issues using structured, hypothesis-led analysis.

• Transforms complex findings into clear, actionable commercial recommendations for markets and global stakeholders.

• Supports performance reviews and planning with decision-ready visualization, strong data storytelling and evidence-based challenge.

• Understands decision driver trees across levers in Ecom and performs RCA to identify the key actions to unlock value

IDENTIFY - Monitor and identify anomalies and opportunity pockets in commercial performance impacting key metrics. Create tangible hypotheses for data deep dives.

ANALYZE - Explore commercial performance across markets, categories, channels, customers and the eCommerce funnel. Analyze across critical levers to create data validated statements.

DIAGNOSE - Use structured problem-solving to isolate root causes, relationships, risks and opportunities. Arrive at valid data backed conclusions which can be acted upon.

RECOMMEND - Convert findings into prioritized actions supported by impact sizing, evidence and business context.

KEY RESPONSIBILITIES:

COMMERCIAL PERFORMANCE ANALYSIS

• Analyze performance across revenue, traffic, conversion, average order value, margin, demand, returns, promotions and customer KPIs.

• Deep dive across merchandising, pricing, marketing, CRM, content and purchase behavior.

• Identify material trends, emerging risks and commercial opportunities.

ROOT-CAUSE & OPPORTUNITY ANALYSIS

• Apply driver trees, segmentation, cohort, funnel and variance analysis to explain performance changes.

• Form and test hypotheses, distinguish signal from noise and quantify the size of opportunities.

• Combine multiple data sources and business context into a coherent commercial view.

INSIGHT DEVELOPMENT & STORYTELLING

• Translate findings into clear, prioritized and commercially relevant recommendations.

• Create compelling, executive-ready narratives through data visualization and strong storytelling.

• Support market reviews, commercial planning and performance discussions with evidence-based inputs.

CROSS-FUNCTIONAL COLLABORATION

• Work with market teams and Merchandising, Pricing, Demand, Marketing, CRM, Content and Commercial Planning stakeholders.

• Align analytical scope, clarify business questions and communicate assumptions, limitations and implications.

• Contribute reusable analytical approaches and best practices to the Commercial Excellence team.

EXPERIENCE REQUIREMENTS

• 6–8 years in Business Analytics, Commercial Analytics, eCommerce Analytics, Insights, Consulting or a related discipline.

• Experience in E-com sector mandatory with understanding of how each lever across merchandising, pricing, demand, marketing, CRM, content work together to drive commercial impact

• Strong experience working with complex datasets and translating findings into business recommendations..

• Hands-on proficiency in SQL, Power BI, Python or equivalent visualization tools, and advanced Excel.

• Experience in D2C brands, fashion retail, consumer retail, sportswear -digital-first or eCommerce brands is preferred.

About the Organisation & Role:

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Software Engineer (Full Stack), you will build the backend services that power personalisation and recommendation capabilities. You will be responsible for technical design, build and validation. Working closely with the Lead Engineer and Engineering Manager, you will deliver low latency services that support real-time consumer experiences.

What you will do:

• Design and build scalable, low latency APIs, event-driven services, and integration layers that support real-time and batch recommendation use cases.
• Partner with AI/ML Engineers and Data Engineers to deploy machine learning models and recommendation algorithms relevant for the business use case.
• Expose AI services and microservices for the consumer layer.
• Build UI Applications using React framework.
• Ensure solutions are secure, observable, reliable, and resilient through strong engineering practices.
• Optimise performance, scalability, reliability, and operational efficiency through automation and proactive improvements.
• Leverage AI-assisted engineering practices and tools to improve engineering productivity, code quality, and delivery effectiveness.

• 4+ years of experience designing and building large scale distributed backend systems on cloud-native platforms.
• Hands-on experience building and operating recommendation and personalisation capabilities.
• Expertise in backend engineering, API design, microservices, event-driven architectures, and scalable integration patterns using Java, Spring Boot and related frameworks.
• Frontend Development experience using React.
• Experience with Redis or equivalent caching systems.
• Experience with event streaming platforms such as Kafka.
• Experience with observability, reliability engineering and performance optimisation.
• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.
• Experience in eCommerce, retail, or consumer digital products is strongly preferred.

Position Summary: Own the design and creative execution for Puma.com, India's direct-to-consumer digital channel. This covers the website and app experience, sale and product-drop communication, CRM, and performance marketing creatives. The role turns business priorities (launches, exclusives, sale events, competitive responses) into fast, on-brand creatives that drive traffic, click-through and conversion, while staying within the global PUMA design language.

Key Objectives

• Design homepage, category and campaign banners, landing pages and PDP support assets for Puma.com and the Puma app, in line with global guidelines and localised for India.
• Deliver creatives at speed for sale events, product launches and competitive-response moments (e.g. limited-window sale plays and hero product drops) with quick turnarounds, without compromising quality.
• Create CRM assets (email, push, WhatsApp, in-app) and performance marketing creatives (static, carousel, short video/animation) for Meta, Google and other paid channels.
• Build reusable templates and a modular design system for banners and communication so recurring work scales faster.
• Support the case for Puma.com's differentiated positioning (exclusives, full-price and brand-heat products) with premium, product-first visual storytelling.
• Stay current on e-commerce UX and design trends, fashion and sneaker culture, and Instagram and short-form content trends, and apply them where they lift performance.
• Test and iterate: work with Growth and Performance teams on creative variants, and learn from results.

Key Performance Indicators

• Creative performance: banner and campaign CTR, landing-page conversion, and ad-creative CTR / CVR / ROAS.
• Turnaround time and on-time delivery against the campaign calendar.
• Volume and range delivered across site, app, CRM and paid formats.
• Brand compliance and quality (minimal rework and revision cycles).
• Newness and creative testing: number of variants tested and learnings applied.

Organizational Relationships

• Internal: Puma.com Growth Managers (Performance and Lifestyle), Site Merchandisers, Content Deployment Manager, Performance Marketing, CRM, and the Marketing and Creative team.
• Global/India stakeholders: Global brand and digital teams for guidelines and asset approvals; India Marketing for campaign alignment.
• External: Agencies and freelancers for video, photography and overflow work (vendor management is a plus).

Eligibility Criteria and Functional Competencies

• 3–5 years of experience in graphic or digital design, preferably in e-commerce, D2C, fashion or a lifestyle brand.
• Strong portfolio showing web banners, campaign creatives and performance ad creatives (not only social or brand work).
• Proficiency in Photoshop, Illustrator and Figma; InDesign is good to have.
• Working knowledge of motion and animation (After Effects, Premiere Pro or similar) for ad cuts, animated banners and stories/reels.
• Understanding of e-commerce UX, including mobile-first layouts, hierarchy and PDP/PLP design, and how design affects conversion.
• Awareness of how creative is measured (CTR, CVR, A/B testing), with a data-informed approach to design.
• Knowledge of current fashion, sneaker and streetwear trends, and of Instagram and short-form video as platforms.
• Ability to multi-task and work in fast, deadline-driven cycles, including sale-event peaks.
• Vendor interaction and development skills are a plus.
• Strong communication skills and the ability to take feedback from business stakeholders.

About the Organisation & Role:

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Quality Engineer, you will validate the AI services that power personalisation and recommendation capabilities. You will be responsible for creating and validating functional and automation test scripts. Working closely with the Lead Engineer, Product Owner and Engineering Manager, you will ensure that the delivered personalization capabilities meet the requirements to provide superior consumer experience.

What you will do:

• Design and execute functional, integration, API and automated tests for personalisation, recommendation, experimentation, and consumer intelligence capabilities.
• Build and maintain automated test suites covering API, integration, functional and end-to-end testing.
• Partner with Software Engineers, Lead Engineers, Product Owners and Data Engineers to embed quality throughout the software development lifecycle.
• Validate recommendation outputs, personalisation rules, consumer segmentation, and experimentation journeys through automated and exploratory testing.
• Create and manage test data and validation scenarios for personalised consumer experiences.
• Ensure a consistent and reliable experience across browsers, devices and digital consumer journeys.
• Leverage AI-assisted quality engineering tools and practices to improve test coverage, regression efficiency and defect detection.
• Continuously improve automation coverage, test reliability and quality engineering practices.

• 4+ years of experience in testing large-scale distributed backend systems on cloud-native platforms related to personalization capabilities.
• Hands-on experience with Playwright (Preferred), Cypress, Appium or equivalent tools.
• Experience in API Testing and Contract Testing.
• Experience in Test Data Management.
• Experience in validating personalization related capabilities.
• Ability to define A/B testing approach.
• Experience in cross-browser testing and tooling (BrowserStack or equivalent) is preferred.
• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.
• Experience in eCommerce, retail, or consumer digital products is strongly preferred.

About the Organisation & Role:

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Software Engineer (Full Stack), you will build backend services membership and loyalty capabilities as well as frontend applications. You will be responsible for technical design, development and validation. Working closely with the Lead Engineer, Product Owner and Engineering Manager, you will deliver low latency services that support real-time consumer experiences. You will also build reusable assets for consistent development and delivery.

What you will do:

• Design, build, and operate scalable, low-latency APIs, event-driven services, and integration layers that support real-time and batch membership, loyalty, rewards, and consumer engagement use cases.
• Configure, extend, and integrate the Antavo loyalty platform, including custom workflows, reward mechanisms, member lifecycle processes, event processing, and promotional capabilities.
• Design and implement integrations between Antavo and enterprise commerce platforms such as SFCC, Fluent Commerce, CDP, CRM, marketing automation, and data platforms to support accurate and near real-time member data synchronisation.
• Ensure solutions are secure, observable, reliable, and resilient by implementing engineering best practices for monitoring, logging and performance optimisation.
• Troubleshoot production issues through monitoring, logging, crash analysis, and root cause investigation.

• 4+ years of experience designing and building large scale distributed backend systems on cloud-native platforms.
• Experience implementing or integrating enterprise loyalty platforms (Antavo preferred), including member lifecycle management, rewards, promotions, campaign execution, and loyalty transaction processing.
• Strong understanding of design patterns, data structures and algorithms, with practical experience applying them to real-world use cases.
• Expertise in backend engineering, API design, microservices, event-driven architectures, and scalable integration patterns using Java, Spring Boot and related frameworks.
• Working knowledge of React and modern frontend development practices sufficient to contribute to consumer-facing applications.
• Experience with Node.js and related frameworks.
• Experience in event streaming platforms such as Kafka.
• Experience with SQL/No-SQL databases with understanding of database architecture and distributed data management.
• Experience with observability, reliability engineering and performance optimisation.

• Experience using coding agents, LLMs or AI-assisted engineering tools.

• Experience in eCommerce, retail, or consumer digital products is strongly preferred.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

About the Organisation & Role:

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Software Engineer, you will build the AI and backend services that power personalisation and recommendation capabilities. You will be responsible for technical design, build and validation. Working closely with the Lead Engineer and Engineering Manager, you will deliver low latency services that support real-time consumer experiences.

What you will do:

• Design and build scalable, low latency APIs, event-driven services, and integration layers that support real-time and batch recommendation use cases.
• Build model-serving and inference integration layers that support real-time and batch recommendation patterns.
• Implement reliable, scalable, and low-latency services with strong focus on resiliency, observability, and performance.
• Work with caching, event-driven processing and distributed systems patterns to support high-volume consumer use cases.
• Ensure solutions are secure, observable, reliable, and resilient through strong engineering practices.
• Optimise performance, scalability, reliability, and operational efficiency through automation and proactive improvements.
• Leverage AI-assisted engineering practices and tools to improve engineering productivity, code quality, and delivery effectiveness.

• 4+ years of experience designing and building large scale distributed backend systems on cloud-native platforms.
• Hands-on experience building and operating recommendation and personalisation capabilities.
• Expertise in backend engineering, API design, microservices, event-driven architectures, and scalable integration patterns using Java, Spring Boot and related frameworks.
• Experience integrating and operationalising LLM APIs and AI services within production applications.
• Experience working with feature stores, vector databases, embedding based retrieval and modern ML architectures will be a strong advantage.
• Experience with Redis or equivalent caching systems.
• Experience with observability, reliability engineering and performance optimisation.

• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.
• Experience in eCommerce, retail, or consumer digital products is strongly preferred.

(Por favor subir su CV en inglés)

Own the operational engine that drives Ecommerce performance across the Americas — ensuring strong execution discipline, clear accountability, and consistent delivery against global priorities, while amplifying leverage for the Americas hub leader to focus on shaping commercial growth and strategic direction.

• Establish and manage a structured operating cadence across Americas E-Commerce teams
• Support preparation of key business reviews (MBRs, regional reviews, leadership updates)
• Track commercial performance across markets, ensuring clear visibility on KPIs, trends and risks
• Identify performance gaps and ensure appropriate follow-up actions are driven across markets
• Support documentation and communication of global commercial guidance and frameworks & playbooks
• Coordinate rollout and adoption of global playbooks across key functional areas (performance marketing, content, CRM, data optimization, etc.)
• Monitor adherence to global commercial guardrails (budget allocation, channel mix, promotional strategy, etc.)
• Act as the primary coordination point between Americas markets and global functional teams
• Ensure alignment between global priorities and market execution, proactively identifying and resolving friction points
• Provide program management support for key regional and global initiatives led by the Americas Hub
• Track progress of strategic initiatives, ensuring timelines, deliverables and outcomes are met
• Support execution of high-priority commercial projects (e.g. marketplace commercialization, social commerce, AI commerce and more)
• Ensure clear ownership, accountability and follow-through across all initiatives
• Facilitate knowledge sharing and best practice exchange across Americas markets, and global hubs

• 6+ years of relevant experience in Consulting, Corporate Strategy, Ecommerce, or similar roles within consumer, retail or digital businesses.
• Advanced English (oral and written).
• Strong program management and execution capability, with a track record of driving initiatives across multiple stakeholders.
• Strong analytical skills, with the ability to interpret performance data and translate insights into actions.
• Excellent stakeholder management skills, with the ability to work effectively across global and regional teams
• High ownership mindset and ability to operate in fast-paced, evolving environments
• Strong communication skills, with the ability to clearly structure and present information for senior audiences

Role Purpose

• Own end-to-end delivery of global Direct-to-Consumer (DTC) technology and platform rollouts across digital and retail channels

• Lead the introduction, migration, and scaling of core DTC platforms across web, app, and retail

• Ensure a stable, secure, and scalable global DTC technology landscape.

Key Responsibilities

• End-to-end ownership of complex DTC technology and platform rollouts

• Manage parallel delivery streams across eCommerce, App, POS, OMS, payments, data, and integrations

• Plan and execute international rollouts, including migration, cutover, and decommissioning

• Coordinate dependencies across product, architecture, engineering, retail IT, operations, security, and partners

• Ensure non-functional requirements (stability, performance, security, compliance, scalability)

• Lead cross-functional, international delivery teams

• Manage risks, issues, and escalations

• Execute go-lives, including hypercare and handover to operations

• Provide clear status and decision reporting to senior stakeholders.

Technology Scope

• Digital: E-Commerce (Web & App), CMS, search, personalization, loyalty / membership

• Retail: POS systems, omnichannel use cases (e.g. Click & Collect)

• Core platforms: Commerce / Shop platform, OMS, payments, CRM, PIM, inventory & fulfillment, returns, data & analytics

• Understanding of API-based, event-driven cloud architectures

• Basic knowledge of CI/CD and release management.

Experience, Skills & Working Style 

• 8+ years of experience delivering complex technology projects or rollouts 

• Background in DTC, omnichannel, or retail technology environments 

• Experience with international, multi-region setups 

• Solid understanding of software delivery, integrations, and IT operations 

• Comfortable with classical, agile, and hybrid delivery models 

• Strong ownership, structuring, and communication skills 

• Pragmatic and resilient in high-pressure rollout and go-live phases 

• Experience working with global, cross-functional teams and partners 

• Fluent English required; German is a plus.

Product Ownership & Backlog Management

• Own the product backlog for a defined product or capability area (e.g. Checkout within Basket & Checkout).

• Translate portfolio strategy and investment priorities into clear user stories, acceptance criteria, and sprint goals.

• Define and maintain a prioritised roadmap aligned to portfolio objectives.

• Ensure backlog items are outcome-led and tied to measurable success criteria.

• Continuously refine and reprioritise work based on performance, insight, and evolving business needs.

Discovery, Validation & Consumer Centricity

• Work closely with UX/UI, Research, and CRO to ensure solutions are grounded in user insight and behavioural data.

• Participate in and support research, testing, and experimentation initiatives.

• Ensure product decisions are informed by data, experimentation, and validated learning, not opinion.

• Identify friction, failure points, and improvement opportunities within the owned product area.

• Champion consumer-centric thinking within the squad and across stakeholders.

Delivery & Cross-Functional Collaboration

• Partner with Engineering, Design, and Data teams to ensure high-quality, timely delivery.

• Balance discovery and delivery to ensure the team is solving the right problems while shipping value regularly.

• Manage dependencies across teams and portfolios in a complex, global environment.

• Escalate risks, trade-offs, and delivery constraints clearly and early to the Teamhead.

• Ensure alignment with Finance, Legal, Compliance, Security, and other relevant functions where required.

Performance & KPIs

• Contribute directly to the portfolio KPIs defined by the Teamhead (e.g. conversion, payment success, engagement, reliability).

• Define feature- and initiative-level success metrics in collaboration with Data & Analytics.

• Monitor performance trends and use insight to inform backlog refinement.

• Support experimentation and continuous optimisation within the product area.

• Clearly communicate impact, learnings, and performance updates to stakeholders.

Stakeholder Management

• Work closely with the Teamhead / Portfolio Owner to align on priorities and trade-offs.

• Collaborate with global and regional stakeholders to ensure relevance and scalability.

• Represent the product area in relevant forums and planning sessions.

• Ensure transparency of progress, risks, and outcomes.

Experience

• 6–8+ years of experience in digital product roles such as Product Owner, Product Manager, or similar positions.

• Significant experience as a Product Owner or Product Manager working on transactional digital products.

• Strong experience working on eCommerce checkout, payments, or conversion-critical journeys.

• Proven experience delivering complex features in collaboration with engineering and design teams.

• Experience working with payment providers, checkout systems, or commerce platforms is highly beneficial.

• Strong understanding of conversion optimisation and customer journey performance.

• Experience working within agile product teams managing backlog and delivery cycles.

Skills & Capabilities

• Deep understanding of checkout flows, payments, and digital commerce best practices.

• Ability to prioritise work that improves conversion, reliability, and user experience.

• Strong backlog ownership and product delivery management.

• Ability to collaborate closely with designers to ensure seamless transactional user experiences.

• Understanding of technical considerations such as payment integrations, fraud, and platform performance.

• Strong analytical mindset with the ability to identify optimisation opportunities.

• Excellent communication skills with the ability to coordinate across engineering, design, and commercial stakeholders.

This job opportunity will be available in full-time or part-time.

As a Senior Site Merchandiser for E-Commerce, you’ll be at the forefront of creating an exceptional digital shopping experience that drives engagement and conversion. In this role, you’ll collaborate across Buying, Marketing, and Content teams to plan and execute seasonal activations, optimize product presentation, and enhance site navigation and search functionality. You’ll lead site merchandising strategies, analyze performance to inform data-driven decisions, and ensure flawless execution across digital channels. With a focus on innovation and best practices, you’ll influence user experience, implement new tools and features, and continuously refine merchandising tactics to maximize revenue and elevate the brand online. If you’re passionate about blending creativity with analytics and thrive in a fast-paced, collaborative environment, this is your opportunity to make a measurable impact.

• Own the end-to-end DTC site merchandising strategy for assigned categories, driving revenue, CVR, AOV and engagement across all digital channels.  

• Build and execute data led site merchandising strategies that balance brand storytelling with commercial outcomes across category pages, PLP’s and seasonal campaign landing experiences. 

• Translate trading priorities, inventory positions and customer insights into clear on-site execution plans that maximize product sell-thru and category effectiveness.  

• Partner with Planning, Buying, Content and Marketing teams to optimize product exposure based on demand, inventory health, launch timing and business priorities.  

• Lead product ranking, navigation, filtering and cross-sell strategies to improve discoverability and KPI's for assigned categories.   

• Analyze daily and weekly performance trends, identify opportunities and risks, and proactively adjust merchandising strategies to hit identified targets.  

• Own category-level reporting and performance readouts, clearly communicating results, insights, and recommended actions to direct team or cross-functional stakeholders.  

• Lead product recommender strategy. Conduct and present weekly analysis on existing product recommenders, optimize, implement new product recommenders, striving to maximize cross-sell potential. 

• Identify and implement test-and-learn opportunities (A/B tests, new merchandising approaches, UX enhancements) to drive incremental growth. 

• Ensure operational excellence by maintaining accuracy, quality, and execution speed, particularly during peak trading moments.  

• Act as a subject-matter expert for site merchandising best practices, trends, and tools within the e-commerce organization, occasionally coaching junior site merchandisers directly. 

• Collaborate with global and regional teams to adapt global strategies to local market needs while maintaining brand consistency. 

• Troubleshoot and resolve site merchandising related functionality issues, coordinating with technical teams as needed.  
• Champion continuous improvements by identifying gaps and recommending workflow refinements. 

• Research competitive landscape and industry best practices to inform future site merchandising strategies. 

• Bachelor's degree in Business, Marketing, Merchandising, or related field (or equivalent experience). 

• 5+ years of experience in e-commerce merchandising, site operations, or digital marketing. 

• Proven track record of driving conversion and revenue through site merchandising strategies. 

• Analytical & Data-Driven. Ability to interpret data, identify trends, and translate insights into actionable strategies. 

• Skilled at managing multiple priorities and deadlines in a fast-paced environment. 

• Excellent communication and interpersonal skills. 

• Proactive in identifying issues and implementing solutions with urgency. 

• Passion for improving user experience, innovation, and exploring new tools, features, and merchandising tactics. 

• Detail-Oriented, strong attention to accuracy in product presentation and site functionality. 

• Strong understanding of e-commerce platforms, CMS, and site search tools. 

• Familiarity with online retail best practices, UX principles, and digital merchandising trends. 

The hiring range base pay for this position is $67,700-$91,900 + Bonus + Benefits

(Benefit Summary Corporate) 

Pay may vary depending on job-related knowledge, skills, and experience.