Product Owner Senior Associate (Enterprise Data & AI Enablement)
Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Aug 31, 2026.
Are you ready to make an impact at DTCC?
Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.
Pay and Benefits:
- Competitive compensation, including base pay and annual incentive
- Comprehensive health and life insurance and well-being benefits, based on location
- Pension / Retirement benefits
- Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
- DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).
The Impact You Will Have in This Role:
The Enterprise Data Team is building the trusted, well-governed data foundation that enables enterprise decision-making and emerging AI capabilities at DTCC. As a Product Owner Senior Associate, you will take hands-on ownership of enterprise data products, improve how data is integrated, governed, monitored, and used, and explore new AI opportunities through research, analysis, and proofs of concept. This is an opportunity for a curious, proactive professional to develop deep product expertise, shape roadmaps, and provide recommendations that influence DTCC’s enterprise data and AI strategy.
Your Primary Responsibilities:
- Own and improve enterprise data capabilities across areas such as data integration, data quality, governance, metadata, and AI enablement
- Develop a strong understanding of each capability from end to end, including its technology, users, dependencies, and operational challenges
- Partner with Business, Engineering, Architecture, and Data Governance teams to identify problems, remove bottlenecks, improve adoption, and deliver measurable value
- Translate business and technical needs into clear functional requirements, epics, user stories, acceptance criteria, and prioritized backlog items.
- Serve as the day-to-day Product Owner for Agile delivery teams, supporting backlog refinement, sprint planning, reviews, and delivery.
- Research emerging data and AI technologies, market participants, and potential enterprise use cases
- Develop proofs of concept and assess whether new ideas are valuable, viable, scalable, and aligned with enterprise needs
- Present leaders with thorough analysis, practical options, and clear, decision-ready recommendations
- Take increasing ownership of assigned capabilities while helping shape their strategy, adoption, and roadmap
**NOTE: The Primary Responsibilities of this role are not limited to the details above. **
Qualifications:
- Minimum 6 years of relevant experience in Product Ownership, Product Management, Business Analysis, technology delivery, or a related field, ideally supporting data, analytics, or AI-enabled platforms
- Bachelor’s degree (preferred) or equivalent experience
Talents Needed for Success:
- Experience translating complex business and technical needs into actionable product requirements
- Strong analytical and research skills, including the ability to investigate unfamiliar topics and develop well-supported recommendations
- Experience partnering with Agile technology or engineering teams
- Ability to establish priorities, make sound decisions, and move ambiguous initiatives forward with minimal oversight
- Strong communication, presentation, facilitation, and stakeholder-management skills
- Intellectual curiosity and a genuine interest in enterprise data, emerging technology, and AI
- Experience with enterprise data platforms, Snowflake, data governance, data quality, metadata, analytics, or AI-enabled products is preferred
- Familiarity with generative AI, semantic models, knowledge graphs, agentic workflows, or related technologies is preferred
- Experience conducting proofs of concept, market research, feasibility assessments, or product roadmap development is preferred
- Familiarity with Jira, Confluence, or similar product delivery tools is preferred
We offer top class training and development for you to be an asset in our organization!
The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.