Senior Product Owner

The SEI Wealth Platform is looking for a Senior Product Owner for our Data & AI team. The role focuses on executing the product roadmap, owning the "what" and "why", and ensuring data pipelines, analytics platforms, and AI‑enabled capabilities deliver measurable value, are responsibly governed, and align with enterprise priorities. Responsibilities Product Strategy & Roadmap : Define and communicate a clear product vision and roadmap for Data & AI initiatives, aligned to business goals and measurable outcomes; balance near‑term delivery with long‑term platform and capability evolution. Backlog Ownership & Prioritization : Own and continuously refine the product backlog, translating business needs into epics, features, and user stories; make informed trade‑off decisions across scope, value, risk, and dependencies. Cross‑functional Collaboration : Act as the primary liaison between business stakeholders, data scientists, ML engineers, and data engineers; ensure shared understanding of goals, success criteria, and delivery expectations. Data & AI Lifecycle Oversight : Provide product ownership and oversight across the AI and analytics lifecycle—from data sourcing and preparation through model development, deployment, and ongoing improvement; ensure initiatives align with business use cases, not just technical feasibility. Quality, Testing & User Feedback : Partner with delivery teams to ensure solutions meet business expectations and deliver usable, trusted insights; establish feedback loops with users and stakeholders to drive continuous improvement. Model Performance & Value Tracking : Own success metrics for AI‑enabled capabilities, including business impact, reliability, and usability; partner with technical teams to monitor outcomes such as accuracy, bias, and performance degradation over time. Data, AI Governance & Responsible Use : Work with risk, legal, and compliance teams to ensure AI solutions meet enterprise standards for privacy, security, and ethical use; embed governance requirements into product design. Technical Translation & Communication : Translate complex AI and data concepts (e.g., generative AI, LLM‑based solutions, AI agents) into clear business language, decisions, and priorities; enable non‑technical stakeholders to understand trade‑offs, risks, and value without requiring technical depth. Qualifications Product & Leadership Experience Minimum of 7 years of experience in Product Management or Product Ownership. At least 2 years of experience owning products involving data, analytics, or AI‑enabled capabilities. Business Impact Focus Demonstrated ability to articulate and deliver outcomes such as revenue growth, cost reduction, efficiency gains, or risk mitigation. Comfortable engaging with senior stakeholders and tying delivery to business metrics. Technical Fluency (Not Hands‑On) Working knowledge of modern data and analytics ecosystems. Conceptual understanding of AI/ML and generative AI sufficient to prioritize work, ask the right questions, and make informed decisions. Ability to read and interpret metrics, dashboards, and basic data outputs; hands‑on coding is not required. Ability to write requirements as prompts. Ability to think like an AI engineer. Agile Product Ownership Strong command of Agile/Scrum practices, including backlog management, sprint planning, and stakeholder communication. Experience working with tools such as Jira, Rally, or Azure DevOps. Desired Qualifications & Experience Education : Degree in a technical, quantitative, or business‑related field (Computer Science, Engineering, Data, Finance, or equivalent). Domain Expertise : Experience in Financial Services, particularly wealth management, asset management, or alternatives; understand how Product fits the overall vision. AI Awareness : Familiarity with modern AI patterns (e.g., generative AI, AI‑assisted workflows, analytics platforms) from a product and governance perspective. Data Governance Exposure : Experience partnering with data governance, privacy, or risk teams; familiarity with enterprise governance concepts and tooling is a plus. Communication : Experience interfacing with management; desire to work collaboratively with cross‑functional teams; exceptional oral and written communication skills. Values Alignment : Embrace SEI Values of courage, integrity, collaboration, inclusion, connection, and fun. Working Arrangement Hybrid schedule: work 3 days in the office, remaining days remote. Benefits Health care (medical, dental, vision, prescription, wellness, EAP, FSA) Life and disability insurance (premiums paid for base coverage) 401(k) match Educational assistance (tuition reimbursement) Commuter benefits Paid holidays (up to 11 per year) Paid time off (21 days per year pro‑rated for new hires, increasing over time) Paid parental leave, back‑up childcare arrangements, and paid volunteer days Discounted stock purchase plan and investment options Access to employee networks and additional benefits Equal Opportunity Employer SEI is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. #J-18808-Ljbffr