What are the responsibilities and job description for the Product Delivery Manager - Digital Acquisition and Enablement Platforms position at JPMorgan Chase?
Bring a strong technical foundation and a “figure-it-out” mindset, quickly learn product capabilities and core platform flows; build LOB domain knowledge and a practical understanding of how the system works; confidently represent AEP in discussions on blockers/issues.
Demonstrate executive presence and program leadership: represent AEP credibly in front of LOB leadership; lead the program across the area product groups with authority and influence, aligning stakeholders, driving decisions, managing conflicts/trade-offs, and holding teams accountable to outcomes, timelines, and quality.
- Leads end-to-end product delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while escalating opportunities to improve efficiencies and functional coordination.
- Leads the completion of change management activities across functional partners and ensures adherence to the firm’s risk, controls, compliance, and regulatory requirements.
- Effectively manages timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partners.
- Serve as the primary horizontal coordinator across all Area Product Groups (APGs), ensuring alignment, integrated planning, and coordinated execution to meet LOB demand.
- Partner closely with LOB ambassadors to translate priorities into an actionable plan; maintain a single view of commitments, progress, and follow-ups; act as the primary point of contact for LOB feedback and issue resolution.
- Own a disciplined communications and reporting cadence: deliver clear status and RAG reporting, highlight dependencies, and proactively escalate risks/blockers with recommended paths forward to leadership and stakeholders.
- Drive continuous improvement across the program operating model by using data and stakeholder feedback to streamline intake, improve delivery predictability, and strengthen transparency.
- Partner with Digital Finance to track planned vs. actuals, enable investment transparency, and reinforce financial discipline across initiatives.
- Build a high-performance operating culture across the program community and product teams—clarifying ownership, driving accountability, and reinforcing operational excellence.
Lead product planning and governance by supporting quarterly increment planning (QIP), roadmap and dependency management; establish funding/capacity guardrails and decision forums; ensure crisp articulation of the “what” and the “why.”
- 5 years of experience or equivalent expertise in product delivery or a relevant domain area.
- Demonstrated ability to execute operational management and change readiness activities.
- Strong understanding of delivery and a proven track record of implementing continuous improvement processes.
- Experience in product or platform-wide release management, in addition to deployment processes and strategies.
Executive communication & presence: strong written and verbal communication; credible with LOB leadership; calm under pressure; escalates early and appropriately.
Technical fluency tooling proficiency: strong grasp of engineering concepts and terminology; able to follow architecture/flow discussions and represent AEP when APO/engineering leads aren’t present; proficient with tools such as LLM Suite, Copilot, Jira, Confluence, Excel, and PowerPoint.
Facilitation & stakeholder leadership: run working sessions efficiently, drive decisions, and ensure clear actions/owners/dates; influence without authority and manage conflicts/trade-offs across LOBs and platform teams.
Structured problem solving & operational rigor: clarify ambiguity, define approach, break work into milestones, and drive closure; strong follow-through, accountability, and attention to detail (not a “status collector”).
- Data-driven reporting & hygiene: ability to define a “single source of truth,” improve tool/data hygiene (e.g., Jira/Align), and produce metrics-based RAG reporting without manual thrash.
- Planning & prioritization muscle: experience supporting quarterly/monthly planning cycles, capacity-aware prioritization, and making trade-offs explicit to stakeholders.
- Proficient knowledge of the product development life cycle, design, and data analytics.
- Data-driven program management: comfortable using Jira/Align (and similar) to track work; enforce hygiene and traceability (epics, dependencies, statuses).
- Continuous improvement to simply processes, reduce manual effort, and improve reporting/data hygiene.
- AI/automation orientation: experience using automation/AI to reduce manual ops work (requirements synthesis, status automation, reporting generation, workflow simplification) not as an ML engineer, but as an operator who can drive adoption.