We are seeking Senior Product Owner Retail Tech to lead strategic evolution and support operational excellence across our retail technology ecosystem. This role is responsible for defining, driving, and continuously optimizing key in-store consumer experience capabilities, including Point of Sale (POS), omnichannel services, CRM and loyalty integrations, digital signage, and other store-facing retail technologies. While POS represents the core platform within the product scope, the role also ensures alignment and integration with related in-store solutions that support seamless customer journeys.You will own the POS product vision, roadmap, and backlog, while ensuring strong alignment with business strategy, IT architecture, and operational standards across the global DTC landscape.

Your main responsibilities will be:

• Define and own the global POS product vision, strategy, and roadmap aligned with business goals.

• Translate business needs into structured product initiatives and a prioritized product backlog.

• Act as the global point of product accountability for the POS platform.

• Drive standardization of POS processes while taking local regulatory and operational nuances into consideration.

• Lead major POS enhancements, upgrades, and lifecycle management initiatives.

• Collaborate closely on requirements definition with Global Retail Operations, Loss Prevention, IT Architecture, BI, Finance, and external vendors.

• Ensure stable, reliable, and scalable product performance across global markets.

• Define and track key product KPIs for POS. Establish reporting frameworks together with BI and Retail Operations to ensure transparency of product performance and enable further data-driven decision making.

• Use data and performance metrics to guide backlog prioritization and support product evolution across markets.

• Lead incident prioritization and structured problem management from a product perspective.

• Champion innovation in areas such as mobile POS, self-checkout, digital receipts, unified commerce, and payment technologies.

• 5+ years of experience in Product Management in Retail with strong exposure to POS systems.

• Proven experience managing global or multi-market retail technology platforms.

• Strong understanding of store operations, omnichannel processes and checkout and back-office workflows.

• Familiarity with ERP systems (e.g., SAP), payment integrations, and fiscal requirements.

• Ability to translate complex technical topics into business-relevant decisions.

• Experience managing vendor ecosystems and external technology partners.

• Strong stakeholder management skills at mid-senior leadership level.

• Data-driven mindset with ability to prioritize based on business value and operational impact.

• Fluent in English.

• Willing to relocate or already located in the Nürnberg Metropolitan Region (Germany).

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

Integration is a key element of this position! We are looking for an SAP Integration Manager to manage our global Integration Platform at PUMA and connect with regional Teams and their Systems. As part of our global Integration team, you will be responsible for the integration Platform and define the future global Standards. Your key responsibilites will be:

• Conception, realization and administrative support of the global & regional interfaces with SAP Cloud Integration and SAP Process Orchestration

• Active development and support of SAP Cloud Integration and SAP Process Orchestration

• Ensuring high quality Application Management support across different levels i.e. L1, L2 & L3 is delivered

• Play a key role (in terms of both technicalities and managing) in migrating interfaces from SAP Process Orchestration to SAP Cloud Integration. Align and drive discussions with involved stake holders

• Coordinate with global and regional competency teams to define and update integration standards for PUMA worldwide

• Design and document new integration patterns & approaches, as well as evaluating new tools, applications and methods

• Responsible for the quality management during implementation projects.

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• Minimum 6+ years of experience in Enterprise Application Integration

• More than 4 years of hands-on experience in any of the SAP Integration technologies like SAP PI/PO, Integration Suite - HCI/CPI/CI, SAP API Management, Event Mesh etc.

• Knowledge of programming languages used in SAP integration scenarios Groovy, Java, XSLT etc.

• Excellent problem-solving skills and the ability to work in a fast-paced environment

• Proven track record of successfully leading and delivering integration projects in dynamic and ambiguous situations

• Excellent English communication skills written and spoken, able to translate business requests into technical requirements

• Strong team management, stakeholder management and coordination skills

• Motivated, team-oriented, and easily adapt to work collaboratively across teams in a multi-cultural environment.

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

We are seeking an experienced Solution Architect to support end-to-end architecture across PUMA’s global DTC technology landscape. In this role, you will ensure scalable, stable, and future-proof architecture decisions across digital and physical touchpoints. You will advise and enable Product and Project Teams by aligning business strategy, product roadmaps, and technology architecture, while ensuring high solution quality, strong non-functional standards, and sustainable platform evolution. Acting as an architectural authority for strategic initiatives, you will help guide the structured evolution and expansion of PUMA’s global technology ecosystem.

Your key responsibilities will be:

• Design and own end-to-end solution architectures for strategic initiatives across digital channels, retail systems, core platforms, integrations, and data.

• Define architecture artifacts such as high-level architecture diagrams, design documents, data models, and system interaction maps.

• Define integration patterns (API-first, event-driven, modular, cloud-native architectures).

• Define and validate non-functional requirements including performance, security, scalability, compliance, resilience, and failure handling.

• Participate in discovery workshops, architecture reviews, and impact assessments.

• Advise squads, lead design reviews, and document key architecture decisions.

• Contribute to architecture governance and technology evaluations.

• Ensure architectural consistency, scalability, and long-term sustainability.

• Collaborate with Platform, DevOps, and SRE teams to ensure operational readiness, scalability, and reliable platform operations.

• Act as key interface between Product, Engineering, Delivery, Platform teams, and Management.

• Ensure adherence to security standards, data privacy requirements, and regulatory compliance.

Technology Scope

Strong understanding of...

• Microservices and distributed systems

• Digital channels (web, app, commerce capabilities)

• Retail and store systems (POS, omnichannel integrations)

• Core platforms (order management, payments, CRM, data platforms)

• Integration layer (APIs, event-driven architectures, middleware)

• Cloud infrastructure, DevOps, CI/CD, and release management

• Observability and operational architecture principles

• Security concepts (OAuth2, SSO, CIAM).

Experience, Skills & Working Style

• 8+ years of experience in solution or system architecture within complex IT environments

• Experience in DTC, eCommerce, retail, or omnichannel environments

• Strong understanding of integration architectures and modern engineering practices

• Experience working in global matrix organizations

• Strong communicator bridging business and engineering teams

• Structured, pragmatic, decision-oriented, and governance-aware working style

• Fluent English required; German is a plus.

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

• Define and own the enterprise AI, ML strategy, building a multi-year roadmap aligned to digital and business transformation priorities

• Lead and scale a high-performing team of AI Engineers, MLOps Engineers, Data Engineers, Application Engineers and Data Scientists

• Architect and oversee development of enterprise-grade AI solutions including LLM-based systems, Retrieval-Augmented Generation (RAG), predictive ML models, decision intelligence platforms, and data-heavy applications

• Drive the full AI product lifecycle - opportunity discovery, business case definition, architecture design, development, deployment, monitoring, optimization and value realization

• Establish enterprise AI reference architectures, reusable frameworks, modular ML templates and standardized deployment patterns

• Ensure strong MLOps maturity including CI/CD for ML, model registry, automated retraining pipelines, monitoring for data/model drift, observability and governance

• Lead cloud-native AI platform strategy leveraging Azure / Databricks / AWS / GCP ecosystems with focus on scalability, resiliency and cost efficiency

• Define GenAI standards including prompt engineering frameworks, evaluation pipelines, guardrails, responsible AI controls and security compliance

• Partner with business leaders to translate complex operational challenges into scalable AI and data products with measurable ROI

• Define and track product KPIs including adoption, performance, latency, uptime, cost per inference, business value creation and productivity uplift

• Ensure enterprise-grade security, compliance, and responsible AI practices across all deployed solutions

• Drive continuous innovation by evaluating emerging AI technologies and integrating them into the enterprise ecosystem where strategically relevant

• Act as the single point of accountability for AI & Data product performance, delivery excellence and long-term platform scalability

• University degree (B.Tech / M.Tech / M.S.) in Computer Science, Engineering or related discipline; MBA or equivalent business exposure is a plus

• 12+ years of experience across AI/ML, Data Platforms, or Enterprise Product Engineering, with 5+ years leading cross-functional technical teams

• Proven track record of building and scaling enterprise AI/ML products in production environments

• Deep understanding of:

• Machine Learning lifecycle and model governance

• LLMs, transformer architectures, RAG pipelines and prompt engineering strategies

• MLOps frameworks including model monitoring, drift detection, retraining and CI/CD for ML

• Modern data architectures (Databricks, Spark, ETL/ELT, Delta patterns, data orchestration)

• API-driven architectures and distributed systems design

• Strong exposure to cloud ecosystems (Azure, Databricks, AWS or GCP) and cost optimization strategies for large-scale AI workloads

• Experience designing scalable, secure and highly available enterprise data platforms

• Strong strategic thinking with ability to align AI investments to business value, operational efficiency and competitive advantage

• Demonstrated experience influencing senior stakeholders and translating technical trade-offs into business decisions

• Strong leadership and talent development capability, with experience building engineering culture and technical maturity

• Excellent communication skills with ability to operate across business and technical audiences

• Hands-on mindset with ability to dive deep into architecture discussions when required

• Ability to operate in a fast-paced, high-growth and transformation-driven environment

• Fluent in Business English

As Senior Manager Data Governance, you will play a critical leadership role in strengthening the foundations of PUMA’s data landscape. You will champion enterprise-wide data governance, quality, and compliance to support data-driven decision-making across the business.

Key Responsibilities:

Data Governance Strategy & Policies

• Develop and implement data governance strategies aligned with PUMA’s business objectives.

• Assist in defining data governance policies, procedures, and standards to ensure data quality, integrity, consistency and timeliness.

Business–IT Partnership

• Serve as the main liaison between business and IT teams to resolve data governance–related challenges.

Data Quality Management

• Perform complex data profiling, cleansing, validation, and monitoring.

• Track and report on data accuracy, completeness, and consistency across systems.

• Define metrics and KPIs to evaluate improvements in data quality.

Compliance & Data Privacy

• Ensure adherence to global and regional regulations such as GDPR, CCPA, and internal data protection standards.

• Collaborate with Legal, Risk, and IT Security teams to implement and enforce data privacy policies.

Data Access, Metadata & Documentation

• Contribute to defining data access, classification, and retention policies.

• Maintain business glossaries, data dictionaries, and metadata standards.

Skills

Technical Skills:

• Expertise in data governance frameworks, policies, and operating models

• Strong knowledge of data quality management (profiling, cleansing, validation)

• Experience with Master Data Management (MDM) solutions and implementation

• Proficiency in metadata management, business glossaries, and data dictionaries

• Understanding of data classification, access controls, and retention policies

• Hands-on experience with Data Governance tools (Ataccama, Collibra, etc.)

• Ability to define and track data quality KPIs and metrics

• Strong knowledge of enterprise data platforms and architectural principles

• Ability to collaborate with data engineering teams to embed governance in pipelines

Leadership Skills:

• Ability to set and drive a data governance vision aligned with business strategy

• Skilled at translating technical concepts into business impact

• Proven capability to lead cross-functional programs and governance initiatives

• Ability to influence and advocate for data-driven decision-making

• Excellent communication and facilitation skills for training and awareness programs

• Strong problem-solving and conflict-resolution skills in a multi-stakeholder environment

• Ability to mentor and develop data governance champions across the organization

• Strategic mindset with the ability to balance governance and agility

We are seeking a Manager DTC In-Store Tech Operations & Service Delivery to ensure stable and high-performing operations across our global DTC in-store technology landscape. In this role, you will combine managerial ownership of service delivery with hands-on 2nd and 3rd level support activities for deployed DTC In-Store Tech systems, store infrastructure, and connected solutions. You will actively contribute to complex incident resolution while coordinating support structures and vendors to ensure reliable retail store operations worldwide. The position bridges operational execution and service governance. You will maintain support standards, drive service improvements, optimize vendor performance, and ensure smooth transition of new solutions into steady-state operations. You will work closely with DTC Project Teams, Business Stakeholders, POS vendors, infrastructure providers, and external partners to guarantee stable, scalable, and high-quality service delivery across PUMA Retail stores.

Your responsibilities will be:

Operational Support & Service Excellence

• Perform hands-on 2nd and 3rd level support activities for DTC In-Store Tech systems, POS systems, store infrastructure, and connected solutions.

• Act as escalation point for complex and business-critical incidents.

• Ensure effective coordination across 1st–3rd level support structures.

• Maintain operational stability and enforce support standards across global retail environments.

• Drive root cause analysis and long-term issue resolution in collaboration with internal and external teams.

Service Delivery Ownership

• Own end-to-end service delivery for deployed DTC In-Store Tech solutions.
• Monitor SLA compliance and service KPIs.
• Ensure service quality and continuous improvement across support processes.

Vendor & Contract Management

• Manage IT service vendors and solution providers.

• Ensure contract compliance and service performance alignment with operational expectations.

• Conduct service reviews and implement corrective measures where required.

Procurement & Operational Standards

• Optimize and implement Retail IT procurement processes and operational standards.
• Support hardware sourcing, lifecycle planning, and cost control initiatives.
• Ensure alignment of deployed solutions with global DTC In-Store Tech guidelines.

Process Improvement & Innovation

• Identify and implement process improvements to enhance DTC In-Store Tech service quality and operational efficiency.

• Support further development and optimization of POS systems and connected in-store solutions.

• Drive continuous improvement initiatives within DTC In-Store Tech operations.

Documentation & Knowledge Management

• Maintain and continuously improve documentation related to POS systems, connected in-store systems, and operational processes.

• Develop and sustain knowledge databases for support and troubleshooting activities.

• Contribute to knowledge sharing and cross-team enablement.

Project & International Rollout Support

• Participate in and support international DTC In-Store Tech projects and initiatives with focus on operational feasibility and support readiness.

• Ensure smooth system rollouts, upgrades, and testing activities.

• Ensure structured handover from project delivery to steady-state support.

• Validate documentation, knowledge transfer, and operational readiness prior to go-live.

• Collaborate closely with project teams and business stakeholders to meet operational and timeline objectives.

Technical & Functional Skills

• Strong hands-on experience in 2nd and 3rd level support within retail/DTC IT environments.

• Deep understanding of POS ecosystems and good knowledge of store infrastructure and connected systems such as ERP, BI, and other retail platforms.

• Proven experience managing service delivery while actively resolving complex technical incidents.

• Solid knowledge of IT service management - incident, problem, change, release.

• Experience performing root cause analysis and driving sustainable resolution of recurring issues.

• Understanding of retail operational workflows and business-critical store processes.

Preferred Experience

• Experience supporting international retail store landscapes and multi-country service structures.
• Background in vendor and contract management within IT service environments.
• Experience optimizing procurement processes and hardware lifecycle governance.
• Experience driving operational improvements and automation initiatives.

Work Philospohy

• Strong ownership mindset with readiness to step into technical problem-solving when required.
• Structured, analytical, and service-oriented approach.
• Ability to balance managerial coordination with hands-on execution.
• Strong stakeholder communication skills across business and technical teams.
• Proactive, solution-driven, and resilient in high-pressure operational situations.

Other Requirements

• Fluent in English with experience working in global and cross-functional environments.
• Willingness to work in Germany / Nürnberg Metropolitan Region or relocate if required.

At PUMA, we push limits – not only in sport but also in how we work. As an Analyst Automation, you will play a key role in driving our automation agenda across the EMEA region and contributing to the global automation program.

In this role, you will:

• Collaborate closely with business users to understand automation needs and identify suitable solutions across EMEA

• Analyze existing business processes to uncover automation opportunities and efficiency gains

• Prepare clear process documentation and align requirements with business stakeholders

• Support automation developers by clarifying process-related questions

• Actively support PUMA’s Automation initiative and its global rollout

• Manage local automation projects, including cost tracking and ROI analysis

• Coordinate internal and external service providers where applicable

• Serve as the main point of contact for business communication at your location

• Recommend prioritization of automation requests for global pipeline management

• Manage projects within the Global Automation program in close alignment with the Global Project Manager

• Apply, promote, and continuously enhance automation best practices.

We are looking for a proactive and business‑oriented automation professional who thrives in a dynamic, international environment.

You bring:

• A university degree (B.S. or M.S.) in Computer Science, Business & Information Systems Engineering, or a related field

• Proven experience implementing and managing automation in complex enterprise environments

• Experience with automation tools such as UiPath, Power Automate, or Process Mining (strong advantage)

• A hands‑on mindset with a strong drive to deliver results

• Strong analytical and problem‑solving skills

• Solid understanding of end‑to‑end business processes

• Excellent communication and interpersonal skills, with the ability to adapt to change

• Strong cross‑cultural communication skills

• The ability to manage timelines while maintaining high standards in a fast‑paced environment

• A service‑oriented mindset

• Fluency in Business English.

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

Puma AI & Machine Learning team is looking for AI Engineer to join in Bangalore HQ. The ideal candidate will work on design, development, deployment, and maintenance of scalable enterprise level GenAI solutions that drive business impact. The role focuses on translating business problems into scalable GenAI applications such as chatbots, copilots, document intelligence, and decision-support systems.

The AI and Machine Learning team is a business-critical team that is at the center of innovation for the company and is a major driver of company's products and business.

Some of the attractive pluses of the job are:
The opportunity to work with a world-class team of talented data scientists, Application Engineers, Data Analysts and business heads with the strong background, and who are extremely passionate about solving real-world applied problems in the retail and fashion industry.

A real opportunity to expand your skill-sets and a chance to learn and use the latest advances and approaches in AI and machine learning on real-world data-sets.

Working in fast-paced work environment where you are expected to be self-motivated and are measured on your performance.

1. Design, build, and deploy GenAI solutions using LLMs (OpenAI, Anthropic, Gemini, Hugging Face) and multimodal models (text, images, documents) for enterprise data products/applications.

2. Develop end-to-end AI pipelines including data ingestion, prompt engineering, evaluation and human feedback loop to learn and improve quality of output results.

3. Maintain, optimize, and enhance existing applications for performance and usability.

4. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.

5. Implement prompt engineering strategies, prompt templates, and prompt evaluation.

6. Fine-tune LLMs using LoRA, PEFT, or instruction tuning, where required.

Skills & Experience Required:

• Strong proficiency in Python, SQL.
• Hands-on experience with LLMs and GenAI frameworks (LangChain, LlamaIndex etc.).
• Experience in prompt engineering and evaluation.
• Familiarity with Git for version control.
• Strong understanding of transformer architectures.
• Basic knowledge of cloud services (Databricks, Azure, or GCP).
• Experience with REST APIs and microservices.
• 4+ years of relevant experience in building GenAI solutions.
• Strong problem-solving and analytical abilities.
• Excellent teamwork and communication with technical and non-technical stakeholders.
• Ability to work independently and take ownership of tasks.
• Experience with LLM fine-tuning. Experience with knowledge graphs + GenAI.
• Exposure to enterprise search, document AI, or chatbot platform

Education Qualification:

• B.Tech / M.Tech in Computer Science / IT or related fields from one of the premier Institutes

This is a regional support role for EEMEA that provides application system support, business analysis, functional design, system implementation, user acceptance test, user training and system documentation.

• Daily support and problem solving in SAP and other business applications

• Support & resolve user issues on daily basis and in a timely manner

• Assist with reporting requirements / exports from SAP / other systems

• Facilitate system changes according to Business Requirements & Change

Requests

• Gather user's requirements & translate into functional enhancement

requests (no coding needed)

• GAP analysis of businesses process vs requirements vs system capabilities /

functionality

• Participate and support system implementation and enhancement

• Provide user training and system documentation

• Prepare testing and conduct user acceptance test with users

Functional Competencies Required:

• Degree in Business Administration, Computer

Science or related subjects

• At least 3 years experience in SAP (ECC preferred) &

Application Support or Consulting

• Industry experience in Retail/ Wholesale / Sports

• Solid understanding of business processes

• Strong GAP analysis and reporting reconciliation

• SAP Certification is an advantage

• Data migration implementation and lifecycle

experience

• SDLC support / management and experience

• Business requirements gathering / analysis and

collation

• Strong SAP experience in SD & MM & FI Modules.

WM (advantage)

• SAP configuration knowledge & experience

• SAP cross module integration knowledge &

experience

• SAP Integration with external applications

• SAP Reporting / data exports

• Data migration

• SAP WM module basic understanding of Storage

type, Storage Section, Storage bin, Transfer Order

• SDLC management

• Advanced Excel (Pivot, Formulas, vlookup, macros)

• Power BI (advantage)

• Retail POS software (advantage)

SAP S4 is a key element of this position! We are looking for a Senior SAP Solution Architect for S4 Fashion Retail, E-Commerce, and MDM at PUMA. As part of our global Solution Architect team, you will be responsible for the SAP S4 Solution architecture running and defining the future global architecture.

Your key responsibilites will be:

• Understanding the Key concepts of S/4 Hana Fashion Retail, E-Commerce, and MDM

• Collaboration with PUMA’s Business Process Managers to translate the requirements into technical solutions

• Good understanding of Retail, E-Commerce, and Master process flow S4 Retail Fashion Solution

• Flexibility for working with implementation partners to achieve the required business functionality

• Ability to participate in business workshops and lead the discussion in expertise.

• At least 6 years of overall experience working with Retail and Ecommerce and MDM in Fashion industry

• Working with SAP S4 Hana, AFS or FMS is an added advantage

• Designing governance process in Retail/Ecommerce/MDM in SAP

• Proactive attitude to be able to contribute with relevant insights

• Working on CDS, Fiori, BADI, ENH etc. is an added advantage

• Excellent communication skills to successfully connect our Partners, Business Process Managers, and regional departments. 

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

We are seeking a “Senior Manager Data Engineering” to lead a team of Data Engineers responsible for building and operating scalable, reliable, and cost-efficient data pipelines on our modern data platform. This role combines technical leadership and hands-on development, ensuring engineering excellence through standards, code reviews, and best practices, while partnering closely with architects, analysts, and product stakeholders to deliver high-value data solutions.

Key Responsibilities

• Leading Data Engineers: Provide technical direction, set engineering standards, and ensure delivery quality across multiple initiatives.

• Engineering Excellence: Establish and enforce coding standards, guidelines, and review checklists.

• Code Review: Perform and oversee code reviews to ensure engineering guidelines and best practices are followed

• Data Pipeline Development: Lead the design and development of scalable data pipelines using Databricks & Apache Spark (PySpark).

• Collaboration: Work closely with data architects, analysts, and product owners to translate requirements into technical solutions and deliverables.

• Communication: Communicate technical status, risks, and trade-offs clearly to stakeholders and ensure delivery transparency.

• Documentation: Ensure high-quality documentation for workflows, data products, and operating procedures.

• Technical Skills:

  • Strong hands-on knowledge in Databricks and Apache Spark (PySpark)

  • Solid experience with Microsoft Azure Synapse, SQL Server, and SSIS (ETL patterns, orchestration, and legacy-to-modern migrations)

  • Experience designing/operating ETL/ELT pipelines with robust monitoring and troubleshooting.

  • Strong understanding of performance tuning and cost efficiency in cloud data workloads.

  • Experience with Delta patterns and Databricks pipeline orchestration (e.g., workflows / managed pipeline patterns).

  • Knowledge of cloud platforms (AWS, Azure, GCP).

  • A minimum of 5 years’ experience in a similar role is required.

• Leadership Skills:

  • Proven experience leading Data Engineering teams (technical guidance, coaching)

  • Demonstrated ability to run code reviews, define guidelines, and raise engineering maturity.

  • Strong stakeholder management and communication— able to align technical solutions to business needs.

  • Ability to manage multiple priorities in a fast-paced environment.

• 10–15 years of experience in technology operations, site reliability engineering, or platform engineering within large-scale digital or eCommerce environments

• Proven track record owning platform reliability, availability, and operational performance for consumer-facing systems

• Strong experience with cloud infrastructure, incident management, observability, and operational readiness in high-traffic, peak-driven environments

• Demonstrated ability to embed SRE practices (SLOs, SLIs, incident response, automation) across engineering teams

• Experienced leader of global operations or SRE teams, comfortable working in on-call and 24/7 operational models

• Calm, decisive leader with a strong focus on stability, resilience, and continuous operational improvement.