Senior Technical Product Manager

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.

The Sr. Technical Product Manager will own the roadmap, vision, and execution for the Generative AI platform, ensuring new capabilities align with strategic business goals and deliver measurable value across the organization. Working closely with the VP of Generative AI Platform and stakeholders across business, engineering, data, analytics, architecture, security, and governance, this role will connect business needs with technical feasibility and translate complex requirements into scalable platform capabilities.

This role will manage product priorities, define technical and data product requirements, drive Agile delivery, and communicate progress, risks, and outcomes to executives and key users. The ideal candidate brings strong technical product management experience across AI, data, cloud, and platform technologies.

• Develop, maintain, and communicate the Generative AI platform vision and roadmap in alignment with business strategy, technology priorities, and enterprise architecture.
• Own the strategy, prioritization, and execution of platform capabilities and supporting data products that enable Generative AI use cases across the organization.
• Partner with business stakeholders to identify high-value use cases and translate business needs into product capabilities, technical requirements, epics, user stories, and acceptance criteria.
• Prioritize features, enhancements, platform capabilities, dependencies, and technical debt in collaboration with engineering, data, architecture, security, governance, and business partners.
• Lead backlog refinement, sprint planning, product prioritization, release planning, and release management in partnership with engineering and Agile delivery teams.
• Collaborate with technical teams on APIs, data models, ETL/ELT pipelines, data architecture, and enterprise data platform capabilities supporting Generative AI solutions.
• Define product requirements for platform performance, availability, scalability, reliability, security, data quality, and operational readiness.
• Incorporate data governance, metadata, lineage, privacy, retention, access controls, security, and responsible AI requirements into product planning and delivery.
• Define and track KPIs for platform adoption, usage, performance, data quality, reliability, delivery, and business impact, and use those insights to refine product priorities and strategy.
• Evaluate emerging Generative AI, machine learning, cloud, and data platform technologies and incorporate relevant capabilities into the long-term product strategy.

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related field.
• 7+ years of product management experience, including experience managing complex technical, data, cloud, AI, or platform products.
• Proven experience developing and managing complex technical product roadmaps and leading cross-functional initiatives from strategy through delivery.
• Experience translating business needs into product requirements, technical specifications, epics, user stories, and acceptance criteria.
• Strong understanding of artificial intelligence and machine learning concepts, Generative AI technologies, and cloud-based infrastructure.
• Strong understanding of enterprise data platforms, including data warehouses, data lakes, APIs, data pipelines, data modeling, and data architecture.
• Experience with ETL/ELT pipelines and one or more modern cloud or data platforms, such as AWS, Microsoft Azure, Google Cloud Platform (GCP), Snowflake, Databricks, Amazon Redshift, or Google Big Query.
• SQL proficiency with the ability to analyze data, validate requirements, investigate issues, and collaborate effectively with engineering and data teams.
• Working knowledge of data quality, metadata management, data lineage, data governance, privacy, security, access controls, and Agile/Scrum delivery practices.
• Strong communication, leadership, strategic thinking, and problem-solving skills, with the ability to translate complex technical concepts into business-focused language.

• Experience in financial services, fintech, or other regulated industries.
• Experience with BI…