Note: The job is a remote job and is open to candidates in USA. Empower is a financial services company focused on helping customers achieve financial freedom. The Senior Technical Product Manager will own the vision, roadmap, and execution of the Generative AI platform, translating business needs into scalable technical and data capabilities. The role will lead prioritization, Agile delivery, stakeholder collaboration, governance, and measurement of platform performance and business impact.
Responsibilities
- 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
Skills
- 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
- * 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
- This job operates in a professional office environment
- ***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.***
- * 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
Benefits
- Remote - Nationwide work arrangement
- Flexible work environment
- Fluid career paths and internal mobility opportunities
- Medical, dental, vision and life insurance
- 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) open to all
- Other necessary computer equipment will be provided
- Non-sales positions have the opportunity to participate in a bonus program
Company Overview