We are looking for a Data, Analytics, Digital & AI Delivery – Corporate Functions Product Owner who leads shaping for assigned products and is accountable for ensuring that demand is submitted to Delivery Review in high quality and with all required information. The Product Owner is responsible for preparing product-level input required for GO decisions, including:

  • Translating business needs into clear product scope, epics, and value hypotheses
  • Developing solution options in coordination with CoEs, Architecture, Data, and delivery teams
  • Assessing risks, dependencies, regulatory, and data implications at product level
  • Producing decision-ready product inputs (scope clarity, options, assumptions, and sizing)
  • Ensuring demand packages are complete, clear, and meet DADAI quality standards prior to Delivery Review
  • Post‑GO, delivery & product outcomes, the Product Owner is accountable for:
  • Owning the end‑to‑end delivery of assigned DADAI products
  • Maintaining a prioritized, executable product backlog aligned with domain priorities
  • Defining and managing epic and feature scope, acceptance criteria, and definition of ready/done
  • Acting as the single product authority for ARTs, PODs, and vendor teams
  • Driving value realization, adoption, and operational feedback loops
  • Feeding learnings from production operations back into backlog refinement and roadmap updates.

Success measures

  • Demand Shaping & Decision Readiness
  • Percentage of owned initiatives reaching GO with complete, product‑level shaping packs, requiring no rework due to missing architecture, security, data governance, or regulatory inputs.
  • Quality and completeness of product inputs provided to the Delivery Liaison for domain‑level decision packages.

Planning Quality

  • Accuracy of product‑level pre‑GO T‑shirt sizing compared to actual delivery outcomes at PI level.
  • Reduction in late discovery of product dependencies, data readiness gaps, or scope ambiguity during planning and execution.

Product Outcomes & Business Alignment

  • Delivery of agreed product outcomes aligned to BU priorities as defined with the IT SHM.
  • Adoption, readiness and realized value evidence, reflected through:
  • IT SHM feedback
  • Business stakeholder satisfaction
  • Captured value metrics and outcome confirmation

Backlog Health & Product Discipline

  • Clear prioritization aligned to domain guardrails
  • Low backlog churn caused by poor shaping or unclear scope
  • Consistent use of prioritization attributes, acceptance criteria, and definitions of ready/done across teams and vendors
  • Time to convert production issues into backlog items and time to prioritized remediation.

Requirements

  • Experience with large enterprise companies
  • Excellent verbal and written English communication skills with the ability to interact effectively with global stakeholders and cross-functional teams
  • Must have
  • Data, Analytics, Digital, Automation or AI Products (5+ years)
  • Proven ability to quickly understand existing systems, data landscapes, business processes, and integrations, and translate business needs into scalable digital, data, and AI solutions.
  • Proven experience in business analysis and delivery support for enterprise digital, data, analytics and AI solutions within complex, global organizations.
  • Strong understanding of end‑to‑end data and analytics lifecycles, including data ingestion, modeling, transformation, analytics consumption, and operationalization of insights.
  • Hands-on experience supporting the design, implementation, and adoption of business applications, and workflow‑based digital solutions across multiple business units.
  • Experience working with analytics, AI, and ML-enabled solutions, including requirements definition, use‑case shaping, model integration into business processes, and alignment with platform and data governance standards.
  • Solid knowledge of data concepts such as data modeling, data integration, data quality, and working with structured datasets to support reporting, advanced analytics, and AI use cases.
  • ·Strong understanding of relational databases and querying concepts (e.g., SQL or similar technologies), with the ability to collaborate effectively with data engineers and analytics teams.
  • Broad understanding of enterprise cloud ecosystems, including productivity platforms, data platforms, and cloud services supporting analytics and AI workloads.

Product Ownership in Enterprise IT (5+ years)

  • Enterprise IT roles combining business‑facing product ownership with delivery execution
  • Proven ownership of product scope, prioritization, and outcomes across multiple initiatives or releases, not isolated projects.
  • Proven ability to operate within domain priorities while managing product‑level tradeoffs and dependencies.

Shaping & Decision Readiness Ownership (5+ years)

  • Proven experience leading product shaping from early demand through governance approval, including:
    • Problem framing and value hypotheses
    • Solution Option analysis and scope definition
    • Risk, dependency, and data readiness assessment
    • Preparation of product‑level decision inputs
  • Demonstrated ability to work in close partnership with a business‑facing leader (IT SHM) while still owning product shaping quality, completeness, and clarity.
  • Technical Assessment & Data Quality (5+ years)
  • Capability to perform high‑level technical assessment of data, digital and AI solutions, including dependencies, constraints, and implementation implications.
  • Strong focus on data quality assurance, including alignment on data definitions, quality checks, and acceptance metrics across the data pipeline and analytical outputs.

Domain Business Understanding (Corporate Functions) (3+ years)

  • Hands‑on experience delivering, or product‑owning solutions in the Corporate Functions business area.
  • Strong ability to translate business processes and pain points into epics, features, and measurable product outcomes.

Agile Delivery at Scale Exposure (3+ years)

  • Experience working in scaled agile environments (SAFe or equivalent), including:
    • PI Planning
    • Epic‑to‑feature decomposition
    • Cross‑team and cross‑vendor dependency management
  • Ability to operate effectively with the delivery lead without acting as a project manager or delivery coordinator.

Cross‑Functional work with Architecture, Security & Data Governance (3+ years)

  • Hands‑on experience driving product alignment with:
    • Enterprise Architecture
    • Security and privacy
    • Data governance
  • Proven ability to:
    • Secure required product‑level approvals
    • Resolve conflicts early through structured discussions
    • Preventing late rework by ensuring upfront adherence to enterprise controls

Preferred

  • Vendor & Mixed Workforce Operating Model (3+ years)
  • Experience working in matrix environments with significant external vendor delivery capacity.

Ability to:

  • Act as the product authority for vendor teams
  • Maintain internal product knowledge, decisions, and ownership

Regulated or High‑Compliance Environment (2+ years)

  • Experience delivering solutions in environments with:
    • Validation requirements
    • Audit readiness
    • Controlled release and change management practices (e.g., GxP)

Formal Certifications

  • SAFe POPM, SAFe Practitioner, or equivalent agile/product certification.
  • ITIL Foundation or equivalent service management exposure.

Key capabilities & skills

  • Strong stakeholder management and communication skills
  • Ability to translate business problems into clear, delivery-ready requirements
  • Value-focused prioritization and decision-making
  • Structured, detail-oriented, and comfortable working with ambiguity
  • Collaborative mindset with delivery teams and business partners
  • Demonstrated proficiency in data analysis, digital technologies, and AI literacy
  • Understands enterprise platforms and constraints
  • Can assess technical impact of scope & priority decisions
  • Ensures quality and operability are built into the product

We offer

  • 100% remote work
  • Participate only in international projects
  • Referral bonuses for recommending your friends
  • Career evolution
  • Paid Time Off (Vacation, Sick & Public Holidays in your country)

If interested, please share your Cv at iuliana@euroasiarecruiting.com