The Product Owner will lead the definition and delivery of product capabilities within the Risk and Controls domain, with a strong focus on Risk Control Self-Assessment (RCSA) and monitoring and testing platforms. The role requires hands-on experience working in Agile environments, partnering closely with business, risk, compliance, and technology teams to translate control and regulatory requirements into scalable, well-designed product solutions.
This role operates across multiple Scrum teams, requiring strong dependency management, early identification of risks, and effective coordination across platforms and stakeholders. Experience with AI-enabled capabilities is a strong plus, though not a mandatory requirement.
Responsibilities:
Own the product / value stream vision which will be the north star for driving strategic outcomes for the Scrum Team(s) supported.
Own and manage the product backlog for risk and control capabilities
Inspire the team to deliver upon the goals.
Lead the product functional design process and story mapping, backlog refinement, sprint planning, and prioritization activities.
Work in an agile environment by continuously reviewing the business needs, refining priorities, outlining milestones and deliverables, and identifying opportunities and risks.
Create features and functionalities which enable achieving business goals by collaborating with stakeholders.
Create and own the product backlog prioritizing features which enable maximizing the business value.
Facilitate backlog decomposition sessions with the technology teams to clearly define requirements from a user perspective, inclusive of acceptance criteria breaking down large stories for the team to consume in one sprint.
Partner with the technology team to break down large stories based on estimation.
Participate in the testing /review sessions and provide support for release.
Accept work completed by the team prior to release to production.
Identify and manage cross-team and cross-platform dependencies early in the delivery lifecycle.
Proactively highlight delivery risks, data dependencies, and integration challenges, and work with stakeholders to drive timely resolution.
Collaborate with engineering and architecture teams to ensure alignment with enterprise standards and target-state platforms.
Track and report product performance post-launch to evaluate / request future investment.
Create strong feedback loops by leading the agile events seeking continuous feedback from stakeholders and incorporate in the backlog to achieve the desired outcomes.
Develop the culture of using OKRs to ensure team members align on the purpose of the work and cascade feedback related to risk and dependencies.
Participate in Scrum events representing the Product, and alignment with the Product Manager vision.
Communicate priorities, dependencies, risks, and delivery status clearly to stakeholders and leadership.
Support informed decision-making by articulating trade-offs and impacts across teams and timelines.
Qualifications
Bachelor’s degree or equivalent with customer centric mindset to focus on client needs.
7–10 years of experience in Product Ownership, Business Analysis, or related roles in Agile environments in Technology Risk and control domain
Strong hands-on experience with user story writing, story mapping, backlog management, and Scrum ceremonies.
Solid understanding of Risk & Controls frameworks, including RCSA.
Demonstrated ability to prioritize the items that maximize business value while receiving requests from multiple stakeholders at the same times.
Possess excellent communication skills with the ability to engage stakeholders and team members to drive collaboration and alignment.
Excellent problem solving and decision-making skills.
In depth analytical skills with the ability to synthesize findings.
Successful track record of developing products within deadlines and commitments.
Demonstrated experience facilitating collaborative sessions, managing customer expectations, and ensuring work is aligned with the enterprise goals and objectives.
Expertise with agile tools suites including Atlassian, MS Teams or similar agile management tooling.
Experience with agile testing and technical engineering techniques (TDD, BDD) tools a plus.
Advanced Product Owner certifications.
Exposure to AI, machine learning, or advanced analytics in a product or platform context (hands-on experience preferred but not mandatory).
Preferred Qualifications
Contribute to initiatives involving AI-enabled or data-driven capabilities, such as intelligent monitoring, automation, or insights generation.
Partner with data, engineering, and platform teams to support integration of AI capabilities into risk and control platforms.
Ensure solutions align with risk, governance, and explainability expectations.
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