Product Owner

5–9 years of experience as a Product Owner, Business Analyst, or similar role in Technology Risk & Controls, RCSA, or Compliance platforms. Strong expertise in: User story writing Story mapping Backlog management Scrum ceremonies Deep understanding of Risk & Controls frameworks, including RCSA. Exceptional communication, stakeholder engagement, and decision‑making skills. Strong analytical, problem‑solving, and cross‑team collaboration abilities. Proven track record of delivering products within deadlines and meeting enterprise expectations. Hands‑on experience with agile tools such as Atlassian Jira, Confluence, and MS Teams. Familiarity with Agile testing, Engineering practices (TDD, BDD), and software development processes. Advanced Product Owner certifications (e.g., CSPO, PSPO).

Product Vision & Strategy: Define, own, and communicate the product vision and value stream strategy for risk and control capabilities. Align product direction with business goals, regulatory needs, and enterprise architecture standards. Backlog & Agile Delivery: Own and manage the product backlog, ensuring clear prioritization of high‑value features. Lead story mapping, functional design, backlog refinement, sprint planning, and feature prioritization. Continuously assess business needs, refine priorities, manage milestones, and identify delivery risks or dependencies. Collaboration & Stakeholder Management: Partner closely with technology, engineering, architecture, data, and compliance teams to build scalable product solutions. Facilitate requirement gathering and backlog decomposition to create clear user stories with strong acceptance criteria. Inspire and motivate Scrum teams to achieve sprint and product goals. Delivery Governance & Quality: Participate in testing, review sessions, and production release validation. Accept completed work and ensure all deliverables meet quality and compliance standards. Identify and manage cross‑team and cross‑platform dependencies early in the development lifecycle. Risk Management & Reporting: Proactively identify delivery risks, integration challenges, and data dependencies. Track and measure product performance, post‑launch metrics, and ROI for future investments. Communicate risks, dependencies, and status updates clearly to leadership. Continuous Improvement: Establish strong feedback loops with stakeholders and incorporate insights into the backlog. Promote an OKR‑driven culture to align teams on outcomes and shared goals. Support informed decision‑making by evaluating trade‑offs and downstream impacts.

Exposure to AI, machine learning, or advanced analytics within risk and control environments. Experience contributing to AI‑enabled monitoring, automation, or intelligent insights platforms. Ability to partner with data, engineering, and platform teams to integrate AI/ML features into control systems. Understanding of AI governance, model explainability, and risk management standards.