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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.
Job Responsibility:
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
Requirements:
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
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)
Nice to have:
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