Technical Product Owner (with financial services domain)

• Required Qualifications:
• Bachelor's or Master's degree in Business Administration, Finance, Computer Science, Information Systems, or a related field.
• 10+ years of experience as a Business Analyst, Solution Architect, or Product Owner, with a significant portion within the financial services industry.
• Demonstrable domain expertise in Risk & Compliance within financial services (e.g., regulatory reporting, operational risk, technology risk, enterprise resiliency).
• Proven experience with Generative AI concepts, applications, and their potential impact on business processes; experience in translating AI capabilities into business requirements.
• Solid understanding of enterprise data architectures, data governance, and service-oriented architectures.
• Experience with Identity and Access Management (IAM) principles and their application in enterprise systems.
• Extensive experience working in Agile environments (Scrum, Kanban) with a deep understanding of Agile principles and ceremonies.
• Proven experience as a Product Owner, including managing product backlogs, writing user stories, and defining acceptance criteria.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Excellent communication, negotiation, and interpersonal skills, with a proven ability to engage and influence stakeholders at all levels.
• Ability to work effectively with diverse technology teams (e.g., developers, QA, architects, cybersecurity).

Proactive, self-motivated, and forward-thinking with a strong ability to drive initiatives from conception to delivery

Responsibilities:

• Strategic Problem Solving & Product Ownership: Analyze complex business problems within Risk & Compliance in the financial services industry and identify opportunities for leveraging Generative AI, enterprise data and services, and existing applications/workflows to develop innovative solutions. Define product vision, strategy, and roadmap, ensuring alignment with business objectives.
• Workflow & Application Optimization: Analyze existing business processes and application workflows, identifying areas for improvement, automation, and re-engineering to enhance efficiency and compliance through technology.
• Generative AI Application: Evaluate, propose, and articulate the business value of Generative AI solutions (e.g., for intelligent document processing, compliance checks, risk assessments, fraud detection, synthetic data generation) to address specific business needs and drive efficiency.
  Domain Expertise & Requirements Gathering: Apply extensive knowledge of financial services Risk & Compliance to gather, analyze, and document detailed business requirements, functional specifications, and user stories.
• Enterprise Data & Services: Work with enterprise data architects and service owners to understand data availability, lineage, and service capabilities, ensuring solutions are integrated effectively and leverage existing assets.
• Identity & Access Management (IAM): Collaborate with IAM and security teams to define requirements for secure authentication, authorization, and access controls within new and existing applications and workflows.
• Business, Technology & Cybersecurity Alignment: Act as a liaison between business units, technology teams, and cybersecurity experts, translating business requirements into technical specifications and ensuring proposed solutions adhere to security standards and technological feasibility.
• Stakeholder Engagement & Influence: Proactively engage with a diverse range of stakeholders, including senior leadership, business users, product owners, and technical teams, to build consensus, manage expectations, and effectively influence decisions.
• Agile Product Management: Serve as the Product Owner for one or more Agile development teams, managing the product backlog, writing user stories, defining acceptance criteria, and prioritizing features to maximize business value.
• Forward Thinking & Prioritization: Continuously monitor industry trends, emerging technologies (especially in AI and FinTech), and regulatory changes to identify future opportunities and challenges, driving the prioritization of strategic initiatives and product development.
• Collaboration with Technology Teams: Partner closely with developers, architects, and quality assurance teams throughout the software development lifecycle, providing clarity on requirements, resolving ambiguities, and ensuring solutions meet business objectives.

Documentation & Communication: Create clear, concise, and comprehensive documentation, including business cases, functional specifications, process flows, and training materials. Effectively communicate complex information to both technical and non-technical audiences