Data/AI Product Owner
About The Position
This job is responsible for maximizing the value for one or more products. Key responsibilities include working with stakeholders to understand their needs, and with product managers or specialists to ensure they are aligning on priorities and creating the vision and roadmap for the product to align with strategic direction for the business or technology domain. Job expectations include ensuring delivery of products that meet the expectations of our clients, including features, security, availability, resiliency, timelines and costs. The Cross Domain Product Owner role is part of a horizontal function supporting all delivery verticals under the newly formed ITGPST Data Strategy and Delivery organization. Defines and drives the domain-level data strategy, ensuring alignment with business objectives. Co-develops data roadmaps in partnership with delivery verticals to enable strategic outcomes. Establishes a long-term vision for data capabilities, identifies data modernization/simplification opportunities, and governs portfolio alignment with strategic priorities. Captures the voice of the customer to ensure data products meet business needs. Collaborates closely with Enterprise Architecture and Data Management teams to embed strategic priorities into delivery backlogs, ensuring consistent execution and measurable value. Without this role, projects will continue to incur high costs from inconsistent development, regulatory risks will persist due to lack of consistency, and delivery delays will occur from insufficient data perspective during requirements grooming and planning.
Requirements
- 2+ years of experience in data, analytics, product ownership, data governance, business analysis, technology delivery, architecture, or related disciplines
- Strong interest in data, analytics, AI, machine learning, intelligent automation, and emerging technologies, with a passion for applying these capabilities to solve business problems and create measurable value
- Understanding of core data management concepts, including data quality, metadata, lineage, governance, and data lifecycle management
- Exposure to modern data platforms, cloud technologies, data integration patterns, analytics solutions, or AI-enabled capabilities
- Strong analytical and problem-solving skills with the ability to identify opportunities for simplification, modernization, automation, and reuse
- Proven ability to translate business and technology requirements into practical delivery approaches and influence decisions across multiple stakeholders
- Excellent communication, stakeholder management, facilitation, and presentation skills across business and technology teams
- Experience working in Agile delivery environments, including collaboration with Product Owners, Architects, Engineering teams, and Agile Release Trains
- Demonstrated curiosity, learning agility, and willingness to continuously develop expertise in data, analytics, AI, and emerging technologies
Nice To Haves
- Experience in banking, payments, treasury, financial services, or other regulated industries.
- Experience with data product management, data strategy, governance, or enterprise architecture initiatives.
- Exposure to AI/ML, generative AI, intelligent automation, knowledge management, or advanced analytics use cases.
- Experience with modern platforms such as Databricks, Snowflake, Kafka, Starburst, ThoughtSpot, Tableau, MicroStrategy, Informatica, or similar technologies.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Relevant certifications in Agile, Data Management, Cloud, AI, Analytics, or Product Management.
Responsibilities
- Define a multi-year data platform strategy and roadmap (cloud-native, Lakehouse, streaming/event-driven, open table formats) balancing short-term delivery with long-term modernization
- Convert architecture principles into actionable guidance for teams; ensure plans are cost-aware, feasible, and credible
- Monitor and assess new technologies for data and analytics (e.g., distributed query engines, graph databases, NoSQL, Oracle 23AI, Lakehouse architectures)
- Evaluate AI/ML use cases for scalability, risk, and business value; advise on platforms, MLOps, and integration patterns
- Sponsor proofs of concept with delivery teams; set success criteria and engineering standards
- Scale validated patterns into reusable accelerators and templates; measure ROI to guide prioritization
- Drive migration from legacy warehouses to cloud-ready Lakehouse platforms (e.g., Databricks, Snowflake) with secure, cost-efficient services
- Collaborate with Platform ART, CTI, and System Teams to optimize performance, resilience, and cost (FinOps)
- Provide expertise in relational/NoSQL databases, open table formats (Iceberg, Delta Lake), streaming (Kafka), and event-driven architectures
- Define reusable patterns for batch, streaming, APIs, and data services; advocate data mesh principles where suitable
- Align with enterprise data strategy, governance, and approved tools (e.g., Collibra, SALT, Informatica)
- Embed responsible AI, model risk controls, lineage standards, and regulatory compliance (GDPR, conduct risk) in solutions
- Lead data literacy programs, training, and communities of practice to foster adoption of AI and modern engineering
- Promote best practices for BI tools (ThoughtSpot, MicroStrategy, Tableau) to accelerate insights
- Serve as trusted advisor to business, tech, and compliance teams—communicating strategic impact and cost/benefit
- Partner with Product Owners and Agile Release Trains to integrate platform strategy, AI innovation, and modernization into delivery workflows
- Generates the vision and roadmap for the product to align with strategic direction for the business or technology domain
- Communicates the product vision and roadmap to stakeholders and the team
- Collaborates with stakeholders to understand their needs and problems
- Prioritizes and creates work for a team, learning to collaborate with cross-functional teams
- Creates, prioritizes and refines stories in the product backlog
- Reviews and accepts stories and makes decisions regarding scope and requirements
- Partners with the team to ensure that optimum value is obtained through technology and through subject-matter expertise of the business
Benefits
- Access to paid time off
- Resources and support to our employees
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
