Risk Control PO/BA

Infosys is seeking a Risk Control Product Owner/Business Analyst. In this role, you 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. With 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. You will operate 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. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• Candidate must be located within the commuting distance of Dallas/Richardson, TX or Tampa, FL or be willing to relocate to any of these locations. This position may require travel to project locations.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
• At least 4 years of experience with Information Technology.
• Strong experience in Product Ownership, Business Analysis, Agile/Scrum experience in backlog management, user stories, sprint planning in Technology Risk and control domain
• 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.
• Proven ability to convert regulatory/business requirements into product deliverables, strong SQL and data analysis skills.
• Experience in maintaining end‑to‑end ownership of features - from requirement discovery through design, development, testing, deployment, and production sign‑off.

Preferred Qualifications:

• In depth analytical skills with the ability to synthesize findings.
• Experience in enterprise governance, controls modernization, and control testing platformsSuccessful 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.
• Possess excellent communication skills with the ability to engage stakeholders and team members to drive collaboration and alignment.
• Excellent stakeholder management across business, risk, compliance, and technology.
• Experience working across multiple Scrum teams with dependency management and risk identification.
• Excellent problem solving and decision-making skills
• Exposure to AI, machine learning, or advanced analytics in a product or platform context (hands-on experience preferred but not mandatory)

• Own and articulate the product vision / value stream vision as the north star guiding strategic outcomes for supported Scrum teams.
• Manage and prioritize the product backlog for risk and control capabilities to maximize business value.
• Lead story mapping, backlog refinement, sprint planning, and functional design activities to ensure clarity and alignment.
• Collaborate with stakeholders to define features and functionality that deliver measurable business outcomes.
• Break down and refine requirements into clear user stories with acceptance criteria, enabling efficient sprint execution.
• Partner with engineering and architecture teams to ensure alignment with enterprise standards, target-state platforms, and dependencies.
• Identify and manage cross-team and cross-platform dependencies, proactively addressing risks, data issues, and integration challenges.
• Participate in testing, review, and release readiness activities, and accept completed work before production deployment.
• Track and report post launch product performance, incorporating feedback into the backlog for continuous improvement
• Partner with data, engineering, and platform teams to support integration of AI capabilities into risk and control platforms
• Contribute to initiatives involving AI-enabled or data-driven capabilities, such as intelligent monitoring, automation, or insights generation
• Communicate priorities, risks, timelines, and trade-offs clearly across stakeholders, supporting informed decision-making and SAFe alignment. Ensure solutions align with risk, governance, and expectations.