Product Owner – R01572426

Job requirements

We are seeking an experienced AI Product Owner to lead the development, adoption, and scaling of ADAM — Brillio’s Agentic AI Platform within the Banking, Financial Services, and Insurance (BFSI) domain. This role will drive how ADAM enables enterprises to transition from traditional digital transformation toward AI-led operating models, embedding intelligent agents, automation, and decision intelligence across core financial workflows. The AI Product Owner will act as the bridge between business stakeholders, domain experts, and ADAM engineering teams, ensuring that platform capabilities translate into measurable client outcomes. Key ResponsibilitiesADAM Product Strategy & Vision
• Define BFSI industry vision and roadmap for ADAM adoption across banking and insurance clients.
• Identify high-impact agentic AI opportunities across underwriting, lending, fraud, risk, customer servicing, operations, and compliance.
• Translate business problems into reusable ADAM platform capabilities and agents backlog
• Drive industry-specific productization aligned to Brillio’s platform strategy.
ADAM Platform Ownership
• Own end-to-end lifecycle of ADAM use cases — from ideation to enterprise deployment with the engineering teams.
• Define product backlog, user journeys, agent workflows, and acceptance criteria.
• Prioritize features balancing business impact, scalability, and regulatory constraints.
• Work closely with AI architects, data scientists, and engineering teams to operationalize ADAM capabilities.
BFSI Domain Leadership
• Bring deep understanding of banking or insurance operating models.
• Ensure ADAM solutions align with risk, compliance, and governance standards.
• Embed explainability, auditability, and responsible AI principles into agent workflows.
• Drive industry differentiation through domain-informed AI solutions.
Client Engagement & Adoption
• Act as product evangelist for ADAM within BFSI accounts.
• Partner with sales and consulting teams to shape AI transformation opportunities.
• Drive stakeholder alignment, user adoption, and value realization.
• Present roadmap, demos, and outcomes to senior client leadership.
Required Qualifications
• 5-7 years of experience in Product Management, Consulting, or Technology Delivery.
• Strong experience in BFSI domain (Banking / Insurance / Financial Services).
• Experience delivering AI, Data, or Digital Platforms at enterprise scale.
• Experience operating in Agile product environments.
• Strong executive communication and stakeholder management skills.
Preferred Qualifications
• Experience with enterprise AI platforms (AWS Bedrock, Azure AI, GCP Vertex AI).
• Exposure to Responsible AI, regulatory frameworks, or model governance.
• Background in enterprise transformation or platform-led delivery.
• MBA or advanced degree in Technology, Data Science, or Business.
Sharing a few additional criteria alongside the JD to support more effective shortlisting of candidates. looK for profiles with a strong mix of product strategy, domain understanding (good to have), solutioning, and consulting mindset, beyond core delivery responsibilities. Key considerations:
• Experience in solving business problems, preferably within the BFSI domain
• Strong understanding of the consulting and product strategy aspects, including problem framing based on market/industry insights, evaluation of solution approaches, and impact assessment prior to build
• Ability to bridge leadership and engineering teams, translating product strategy into clear, actionable execution
• Awareness of market trends and industry developments, with the ability to analyze these signals to inform product strategy, identify opportunity areas, and shape potential solution directions

Responsibilities

• Lead end-to-end execution of projects and cross-functional deliverables for Product Owner - R01572426.
• Collaborate closely with departmental peers and stakeholders to ensure seamless operational continuity.
• Monitor core performance KPIs, troubleshoot bottlenecks, and implement optimization protocols.
• Champion high quality standards, peer reviews, and comprehensive team documentation.