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.