Product Manager / Business Analyst

We are looking for experienced Product Managers / Senior Business Analysts to join our product engineering and consulting team to co-build enterprise-grade products and platforms across areas such as privacy, data governance, and related domains.

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

- Bachelors or Masters degree in Computer Science, Engineering, Artificial Intelligence, or a

related field (or equivalent practical experience).