Product Manager / Business Analyst

Thinkwise Consulting; Indore District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Thinkwise Consulting is seeking experienced Product Managers/Senior Business Analysts to co-build enterprise-grade products across privacy, data governance, and related domains. You will own discovery, definition, and delivery, aligning stakeholders, architecture, and engineering in a fast-moving SaaS environment.

You will translate complex regulatory needs into actionable product capabilities, lead workshops, and contribute to roadmaps and governance in collaboration with product teams and

Qualifications

• 7+ years in Business Analysis, Product Management or related roles.
• Experience with enterprise SaaS or B2B products.
• Proven ability to translate problems into product capabilities.
• Experience managing product backlogs, epics, features, and user stories.
• Strong understanding of Agile/Scrum product development.
• Excellent stakeholder management and workshop facilitation.
• Ability to work with engineering teams and understand APIs, data models, and workflows.

Responsibilities

• Translate customer problems into product opportunities, use cases, and roadmaps.
• Define epics, features, capabilities, user stories, and acceptance criteria.
• Own requirements from discovery through design, development, testing, and release.
• Collaborate with product, engineering, architecture, and partners.
• Lead workshops, backlog refinement, sprint planning, demos, and reviews.
• Bridge business stakeholders with technical teams.

Skills

Product Discovery

Stakeholder Management

Agile/Scrum

Backlog Management

User Stories

Product Roadmapping

Domain Analysis

API & Integration Understanding

Data Modeling

System Architecture (conceptual)

Communication Skills

Education

Bachelor's or Master's degree in CS/Engineering/AI

Tools

REST APIs

JSON/XML

SQL

Job description

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).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.