Senior Associate Product Owner Data Modeling

Description

Unleash your expertise in product development and optimization by leveraging user research analyzing metrics and collaborating across one of the worlds most innovative financial organizations. As a Product Owner you will envision and build raw trusted and refined data models that integrate internal and external product feature data. You will drive the strategy and execution for data products that support advanced analytics and generative AI use cases. This role operates at the intersection of business and technology ensuring data models are robust scalable and aligned with organizational goals. You will collaborate with cross-functional teams to deliver innovative solutions that enable secure efficient and insightful data utilization.

As a Senior Associate Product Owner - Data Modeling in Customer Identity & Authentication team you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success.

The Product Owner is responsible for shaping the future of data products by designing and delivering raw trusted and refined data models. You will lead initiatives to capture structure and enhance product feature data from both internal and external sources. As a key member of the team you will ensure these models are optimized for analytical and AI-driven applications supporting business objectives and regulatory requirements.

Job responsibilities

• Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery.

• Considers and plans for upstream and downstream implications of new product features on the overall product experience.

• Supports the collection of user research journey mapping and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers.

• Analyzes tracks and evaluates product metrics including work to time cost and quality targets across the product development life cycle.

• Writes the requirements epics and user stories to support product development.

• Envision design and build raw trusted and refined data models that incorporate internal and external product feature data.

• Define and document business requirements for data model initiatives ensuring alignment with data governance and compliance standards.

• Collaborate with technology architecture analytics data owners and data science teams to deliver scalable data solutions.

• Prioritize and manage the product backlog working in Agile environments to drive discovery and development.

• Map current and legacy systems and design future-state architectures that support analytics and generative AI. Ensure data models are validated for accuracy reliability and usability in analytical and AI contexts.

• Engage with stakeholders across business technology and external partners to gather requirements and feedback. Continuously monitor industry trends and emerging technologies to inform product strategy and roadmap.

Required qualifications capabilities and skills

• 3 years of experience or equivalent expertise in product management or a relevant domain area

• Proficient knowledge of the product development life cycle

• Experience in product life cycle activities including discovery and requirements definition

• Developing knowledge of data analytics and data literacy

• 3 years of experience in product ownership data product management or a related domain.

• Proven ability to design and deliver data models for analytical and AI-driven applications.

• Strong understanding of data governance compliance and regulatory requirements.

• Experience with data modeling data architecture and cloud-based data platforms (AWS Hadoop Kafka Cassandra).

• Proficiency in SQL and data analysis tools.

• Ability to translate business needs into technical requirements and actionable solutions.

• Excellent communication and stakeholder management skills. Experience working in cross-functional matrixed organizations.

Preferred qualifications capabilities and skills

• Advanced knowledge of AI/ML technologies and generative AI applications.

• Experience with external data integration and feature engineering.

• Familiarity with product development lifecycle and Agile methodologies.

• Ability to understand and review code (Java Python) is a plus.

• Experience with data visualization and dashboarding tools.

• Demonstrated ability to drive innovation and continuous improvement in data products.

• Good analytical and problem-solving skills.

Required Experience:

Senior IC