Product Owner

Role Overview Product Owner for the PEG Innovation team focused on private equity due diligence automation. This role delivers outcomes for a product area on the PE due diligence platform, converting stakeholder needs into an executable roadmap and backlog while ensuring squad delivery of high-quality capabilities. Key Responsibilities Roadmap, Discovery, and Squad Delivery Leadership (80%) Own the roadmap and backlog for an assigned product area (e.g., Deal Screening, Due Diligence workflows, Portfolio Monitoring, Report Builder); define outcomes, milestones, and sequencing. Lead continuous discovery with stakeholders (analysts, associates, partners): identify high-value problems, validate hypotheses, and translate insights into delivery work. Write and maintain epics, user stories, and acceptance criteria to a standard that enables autonomous squad delivery; ensure work is testable, measurable, and aligned to user outcomes. Define success metrics and instrumentation requirements for features; ensure releases have clear baselines and post-release measurement plans. Make prioritisation trade-offs across scope, quality, risk, and time; ensure the squad focuses on the highest-impact outcomes. Partner with Engineering to shape feasible technical approaches and manage dependencies (platform services, data contracts, AI service integration). Partner with Design to ensure UX quality, accessibility, and edge-case handling are addressed early; align on iterative delivery plans. Own release readiness for your scope: stakeholder communications, enablement/training materials, change notes, and rollout strategy. Drive post-release learning: analyse adoption and performance, run outcome reviews, and iterate based on evidence. Other (20%) Own squad ceremonies from a product perspective: refinement, planning input, review facilitation, and outcome-focused retrospectives. Act as the primary interface for your product area to cross‑functional partners (Security, Data Governance, Platform Engineering, Data Platform, Agent/AI); align on requirements and constraints early. Establish and maintain a clear Definition of Done for product outcomes with Engineering and QA (quality, observability, documentation, operational readiness). Use AI tooling to accelerate PRD drafting, stakeholder synthesis, and prioritisation artifacts; apply editorial judgement and validate facts before sharing. Support hiring/interviewing and mentoring of Product Analysts/Associate PMs where applicable; raise product practice standards through coaching and feedback. Qualifications Bachelor’s degree in Business, Economics, Engineering, Computer Science, Information Systems, or a related field (or equivalent practical experience). 6+ years of experience in product management, product ownership, business analysis, consulting, or product strategy roles delivering software products in production environments. Demonstrated experience owning a backlog and leading cross‑functional delivery (Product/Design/Engineering), including prioritisation and dependency management. Proven ability to translate ambiguous stakeholder needs into well‑scoped epics/stories with measurable outcomes and acceptance criteria. Experience using data to inform product decisions: defining KPIs, interpreting dashboards, and driving iteration based on evidence. Strong stakeholder management skills; able to communicate trade‑offs, progress, and outcomes to senior business leaders. Product Ownership / Product Management Excellence Outcome‑driven roadmap ownership: sets OKRs/success metrics, sequences work pragmatically, and focuses on measurable impact. Requirements excellence: produces clear PRDs/stories/acceptance criteria; anticipates edge cases and ensures testability. Prioritisation discipline: makes trade‑offs explicitly; balances user value, delivery risk, quality, and operational considerations. Cross‑functional leadership: aligns Engineering, Design, Data Platform, and Platform teams; manages dependencies without surprise work. Product analytics: comfortable with KPI design, adoption measurement, and interpreting qualitative and quantitative signals to drive decisions. Communication: concise, structured executive updates; clear decision logs; strong facilitation of stakeholder discussions. Generative AI and Agentic Systems Understands the user‑facing implications of AI features (non‑determinism, latency, context limits, hallucination risk) and integrates constraints into requirements and acceptance criteria. Partners with the Agent/AI squad to define evaluation‑ready requirements (golden scenarios, quality thresholds, HITL needs) and ensures regression gates exist for changes. Uses AI tooling to accelerate PRD, OKR, prioritisation drafts, and stakeholder communications; validates accuracy and removes speculation before sharing. Ensures AI features meet safety and data‑handling requirements (PII handling, auditability, egress constraints) by coordinating early with Security and Governance. General Builds for users: deeply understands PE workflows and optimises for real analyst outcomes, not internal convenience. Leads with clarity: reduces ambiguity for squads through crisp requirements, priorities, and success metrics. Drives follow-through: measures results post‑release and iterates based on evidence. Uses AI tooling to move faster, but applies judgement and accountability for every decision and artifact shared. This role follows a hybrid model, requiring in‑office presence at least one day per week. Compensation & Benefits Compensation for this role includes base salary, annual discretionary performance bonus, and a 401(k) plan with an annual employer contribution. The detailed salary ranges vary by location: Atlanta: $140,875 – $153,750 Boston: $162,000 – $176,750 Texas: $147,625 – $161,250 Chicago: $155,125 – $169,250 Benefits include full premium coverage for medical, dental, and vision; generous paid time off, parental leave, sick leave, and paid holidays; fully vested 401(k) contribution; paid life and long‑term disability insurance; and comprehensive wellness programs. #J-18808-Ljbffr