Our Customer:
Our customer is building a next-generation enterprise delivery organization focused on accelerating digital transformation through Data, Analytics, Automation, and AI. The team delivers scalable, business-driven solutions by combining product-centric thinking, agile delivery, modern engineering practices, and enterprise governance to support global business functions and drive measurable business outcomes.
Your Tasks:
Own the full product lifecycle for Data, Analytics, Digital, and AI solutions, from discovery and product shaping through delivery, release, adoption, and continuous improvement.
Translate business objectives into well-defined product roadmaps, epics, features, and prioritized backlogs.
Lead product discovery activities by defining business problems, value hypotheses, solution options, and implementation scope.
Collaborate with business stakeholders, architects, data teams, engineering teams, and delivery partners to design scalable, business-focused solutions.
Define and maintain product backlogs, acceptance criteria, and Definition of Ready/Definition of Done to support efficient product delivery.
Identify and manage product risks, dependencies, technical constraints, and data readiness throughout the product lifecycle.
Ensure product requirements align with enterprise architecture, security, privacy, and data governance standards before implementation.
Act as the primary product representative for Agile delivery teams, cross-functional stakeholders, and external vendors.
Monitor product adoption, business outcomes, and value realization while incorporating operational feedback into future roadmap planning.
Contribute to continuous improvement by promoting product management best practices across delivery teams.
Required Experience and Skills:
4+ years of experience delivering Data, Analytics, Digital, Automation, or AI products within complex enterprise environments.
4+ years of experience in Product Owner or similar business-facing product leadership roles, driving product strategy, prioritization, and end-to-end delivery.
Proven experience translating business needs into scalable digital, data, and AI solutions.
Strong understanding of end-to-end data and analytics lifecycles, including data ingestion, transformation, modeling, reporting, analytics, and operationalization.
Experience supporting AI and machine learning initiatives, including use case definition, business requirements, model integration, and alignment with enterprise data governance practices.
Solid understanding of data concepts, including data modeling, data integration, data quality, and structured datasets.
Experience working with relational databases and SQL or similar query technologies.
Broad understanding of enterprise cloud platforms, modern data ecosystems, and cloud services supporting analytics and AI workloads.
Proven experience leading product shaping from early discovery through governance approval, implementation, production release, and continuous product improvement.
Experience preparing business cases, evaluating solution options, assessing risks, dependencies, implementation constraints, and data readiness.
Ability to perform high-level technical assessments and evaluate the impact of product scope and prioritization decisions.
Experience managing product priorities, trade-offs, and cross-functional dependencies within complex enterprise environments.
Hands-on experience supporting Corporate Functions or delivering technology solutions for enterprise business functions.
Strong understanding of Agile delivery methodologies, preferably within SAFe or other scaled Agile environments.
Experience collaborating with Enterprise Architecture, Security, Privacy, and Data Governance teams throughout the product lifecycle.
Strong stakeholder management, communication, facilitation, and decision-making skills.
Analytical mindset with the ability to balance business value, technical feasibilit
