Product Manager / Business Analyst

Key Responsibilities

Product Discovery & Strategy

• Understand customer problems, business processes, industry needs, and regulatory/business drivers.
• Conduct product discovery through stakeholder discussions, customer interviews, workshops, process analysis, and market research.
• Translate business problems into product opportunities, use cases, and solution concepts.
• Contribute to product vision, objectives, capabilities, and roadmap.
• Identify opportunities to enhance existing products and develop new product capabilities.
• Analyze industry and technology trends to identify potential product opportunities.

Product Definition & Requirements

• Define epics, features, capabilities, user stories, acceptance criteria, and functional requirements.
• Develop product requirements and maintain a structured product backlog.
• Break complex enterprise requirements into incremental and testable product capabilities.
• Define business rules, workflows, personas, roles, permissions, data requirements, integrations, and exception scenarios.
• Create process flows, wireframes/mock-ups, product specifications, and functional documentation.
• Work with UX/UI teams to translate user needs into intuitive product experiences.

Product Co-Building

• Work closely with internal product teams, engineering teams, architects, and external technology partners as part of joint product development initiatives.
• Understand existing platform capabilities, workflows, APIs, data models, and integration possibilities.
• Identify gaps between customer/business requirements and existing platform capabilities.
• Define extensions, integrations, workflows, and new capabilities to address those gaps.
• Participate in product workshops, design discussions, backlog refinement, sprint planning, demos, and product reviews.
• Act as a bridge between business stakeholders, product teams, architects, and engineering teams.

Enterprise & Domain Analysis

• Analyze complex enterprise processes across areas such as:
  • Privacy & Data Governance
  • AI Governance
  • Risk & Compliance
  • Third-Party Risk Management
  • Data Security & Governance
  • Regulatory Compliance
  • Consent & Preference Management
• Understand how regulations, policies, controls, data, applications, users, and business processes interact.
• Convert complex business and regulatory requirements into actionable product workflows and capabilities.
• Develop reusable domain knowledge, frameworks, and product assets.

Product Delivery

• Own requirements from discovery through design, development, testing, and release.
• Work closely with engineering and QA teams throughout the development lifecycle.
• Clarify requirements and resolve functional ambiguity during development.
• Review developed functionality against acceptance criteria and business objectives.
• Participate in UAT, product demonstrations, release planning, and customer validation.
• Gather post-release feedback and incorporate learnings into product improvements.

Stakeholder & Customer Management

• Conduct workshops with senior business and technology stakeholders.
• Present product concepts, workflows, prototypes, and solution approaches.
• Facilitate discussions between business, product, engineering, architecture, and partner teams.
• Manage conflicting requirements and drive alignment on product priorities.
• Communicate complex technology and governance concepts in a business-friendly manner.

Required Skills & Experience

• 7+ years of experience in Business Analysis, Product Management, Product Ownership, or a combination of these roles.
• Experience working on enterprise software products/platforms, preferably SaaS or B2B products.
• Strong experience in product discovery, requirements analysis, and translating business problems into product capabilities.
• Experience creating and managing product backlogs, epics, features, and user stories.
• Strong understanding of Agile/Scrum product development.
• Excellent stakeholder management and workshop facilitation skills.
• Ability to work with engineering teams and understand APIs, integrations, data models, workflows, and system architecture at a conceptual level.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication.
• Ability to work independently in an ambiguous and fast-moving product environment.

Preferred Domain Experience

• Experience in one or more of the following areas is highly valuable:
  • Privacy Management / Data Privacy
  • Data Governance
  • AI Governance / Responsible AI
  • GRC / Risk & Compliance
  • Third-Party Risk Management
  • Information Security
  • Data Security
  • Regulatory Compliance
  • Consent & Preference Management
  • Enterprise SaaS Platforms
  • Data & AI Platforms

Preferred Technical Understanding

The candidate does not need to be a developer but should be comfortable working with technology teams and understanding:

• REST APIs and integrations
• JSON / XML
• Data models and entity relationships
• SQL and basic data analysis
• Enterprise application architecture
• Workflow engines and business rules
• Authentication and authorization concepts
• Cloud/SaaS platforms
• Data governance and metadata concepts
• System-to-system integrations

Key Competencies

• Product Thinking
• Business Analysis
• Product Discovery
• Domain Analysis
• Requirements Engineering
• User Stories
• Product Roadmapping
• Backlog Management
• Enterprise Stakeholder Management
• Process Modeling
• Data Analysis
• API & Integration Understanding
• Agile Product Development
• Customer-Centric Problem Solving

What Success Looks Like

• Translate ambiguous business problems into clearly defined product opportunities.
• Build strong domain understanding and convert it into reusable product capabilities.
• Collaborate effectively with product, engineering, architecture, and technology partner teams.
• Drive requirements from discovery through production.
• Contribute to products that solve real enterprise problems rather than simply delivering project requirements.
• Become a trusted product/domain expert for the assigned product area.

Preferred / Good to Have

• Prior experience in legal, professional services, or document-heavy compliance-driven industries.
• Exposure to Databricks, LLM hosting/routing across multiple providers (OpenAI, Azure OpenAI, Anthropic, etc.), and LLM evaluation frameworks.
• Relevant certifications such as Microsoft Certified: Azure AI Engineer Associate.

Education

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field (or equivalent practical experience).