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. What You Will Do: 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. What You Will Bring: 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 BigQuery. 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. What will set you apart: Experience in financial services, fintech, or other regulated industries. Experience with BI and analytics tools and metrics layers. Background in analytics, data engineering, or quantitative roles What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. Medical, dental, vision and life insurance Retirement savings - 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup Tuition reimbursement up to $5,250/year Business-casual environment that includes the option to wear jeans Generous paid time off upon hire - including a paid time off program plus ten paid company holidays and three floating holidays each calendar year Paid volunteer time - 16 hours per calendar year Leave of absence programs - including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) Business Resource Groups (BRGs) - BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $0.00 - $0.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer * Drug-free workplace We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection. Job Posting End Date at 12:01 am on: 09-14-2026 #J-18808-Ljbffr Empower Retirement