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Data Product owner

Data Product owner at Bean HR Consulting · Gurugram · 6 - 12 years · ₹10L - ₹35L / yr · Bootstrapped · Posted 3 Nov 2026

Bean HR Consulting's logo

Data Product owner

Dipali Bhattkoti's profile picture
Posted by Dipali Bhattkoti
6 - 12 yrs
₹10L - ₹35L / yr
Gurugram
Skills
Product owner
Business Analysis
skill iconData Analytics
Data Warehouse (DWH)
Data marts
Data modeling

Roles and Responsibilities for Product Owner / Data Solution Specialist


Role purpose


Own and drive the business and data requirements for assigned workstreams, translating business needs into clear, actionable requirements for architecture, modelling, engineering and reporting teams, while coordinating the relevant business and technology SMEs through design, validation and sign-off.


Key responsibilities

• Drive requirements and scope definition for the assigned data product/workstream and maintain clear traceability through design and delivery.

• Identify and coordinate regional and in-market business owners/working teams required to validate requirements and make decisions.

• Translate business requirements into data requirements, including critical data elements, KPIs, dimensions, source-data needs and derived-field/business logic.

• Work closely with Market IT, Business Data Architects, Data Modellers and Data Engineers to understand source systems and support mapping of source attributes into the target data model. The PO is expected to orchestrate this activity, not replace the relevant technical SMEs.

• Facilitate validation of mapped and unmapped data requirements, default values, consolidation/business rules and target-model requirements with business stakeholders.

• Provide business inputs into data-model, data-mart and reporting/dashboard design, including wireframes where relevant.

• Drive stakeholder reviews, requirement/design decisions and formal business sign-offs. 

• Support delivery iteratively. Where requirements are substantially understood, progress agreed tranches rather than waiting for every outstanding item before engineering begins.

• Work alongside the Project Manager on dependencies, decisions and stakeholder mobilisation; project capacity management and overall programme coordination remain PM responsibilities.


Experience/profile required

• 7+ yrs of strong hands-on Product Owner, Business Analyst or Data Solution Specialist experience in enterprise data programmes.

• Demonstrable data-mart / data-warehouse delivery experience and ability to work across source-to-target mapping, business rules, data models and reporting requirements.

• Strong commercial insurance data knowledge is highly desirable, particularly policy, product, underwriting and financial dimensions. Reinsurance experience would be advantageous for relevant workstreams.

• Comfortable working across business, Market IT, architecture, data modelling, engineering and BI teams.

• Able to challenge requirements, structure ambiguity, drive decisions and obtain stakeholder sign-off rather than acting solely as a requirements coordinator.

• Strong communication and stakeholder-management skills across regional and market teams.

• Strong problem-solving abilities with an emphasis on data-driven decision-making 


Interested candidates can share their cv at dipaliattheratebeanhr.com

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About Bean HR Consulting

Founded :
2014
Type :
Services
Size
Stage :
Bootstrapped

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Role Overview



Senior Business Analyst responsible for

bridging business and technical teams, owning requirements and delivery

outcomes, and operating independently with minimal supervision. The role

requires flexibility to support Product Owner or Project Manager responsibilities

when needed and the ability to work effectively across different domains and

business contexts.



Key Responsibilities



   

Lead requirement discovery

through workshops, interviews, and analysis.



   

Translate business needs into

clear specifications, features, and acceptance criteria suited to AI-assisted

delivery, while using epics and user stories when that level of detail is

required.



   

Own and continuously refine the

product backlog in collaboration with Product Owners and delivery teams.



   

Support iterative delivery

using Agile practices, including Scrum and Kanban, with continuous refinement,

build, validation, and deployment.



   

Analyze current and

target-state processes, identify gaps, and recommend practical improvements.



   

Manage stakeholder

communication and alignment across business, product, engineering, and quality

assurance teams.



   

Define test scenarios, support

User Acceptance Testing (UAT), and maintain traceability from business

requirements through delivery.



   

Work closely with development

and QA teams to clarify requirements and ensure that delivered solutions meet

the intended business outcome.



Must-Have Skills and Experience



   

8-10 years of experience in

business analysis within software or IT delivery environments.



   

Strong experience in

requirements discovery, analysis, and documentation.



   

Ability to define

specifications and features with clear, testable acceptance criteria.



   

Experience working with epics,

user stories, use cases, and product backlogs.



   

Strong stakeholder management,

facilitation, communication, and presentation skills.



   

Hands-on experience with Agile

delivery, including Scrum and Kanban.



   

Experience with API

integrations or API-driven applications.



   

Prompt engineering skills to

effectively use AI tools for discovery, documentation, analysis, and

collaboration.



   

Experience planning and

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Strong analytical,

problem-solving, and process-improvement skills.



Good to Have



   

Working knowledge of SQL for

data validation and analysis.



   

Experience with analytics or

business intelligence tools such as Power BI or Tableau.



   

Familiarity with cloud

platforms such as Microsoft Azure, AWS, or Google Cloud.



   

Experience evaluating

AI-enabled features or collaborating with AI, data, product, and engineering

teams.



   

Exposure to process modelling

techniques such as BPMN.



Education

   

Bachelor's degree in

Engineering, Computer Science, or a related field, or equivalent

qualification.



Preferred Certifications



   

Certified ScrumMaster (CSM) or

an equivalent Scrum certification.



   

Certified Business Analysis

Professional (CBAP), Certification of Capability in Business Analysis (CCBA),

or PMI Professional in Business Analysis (PMI-PBA).



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Operates with strong ownership

and independence, driving outcomes with minimal supervision.



   

Brings a consulting and product

mindset and focuses on solving business problems rather than only documenting

requests.



   

Can flex into Product Owner or

Project Manager responsibilities when needed.



   

Adapts quickly across domains,

stakeholders, and delivery contexts.



Demonstrates a practical, proactive, and

delivery-focused approach.



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  • Clear written communication, including specs that engineers and data scientists can build from without a meeting
  • Understanding of how ML-driven products differ: probabilistic outputs, accuracy limits, and the need for user overrides
  • Experience with B2B, internal tools or data-heavy products will be an added advantage
  • Experience in retail, e-commerce, merchandising, supply chain or inventory planning will be an added advantage
  • Prior experience as an analyst, engineer or data scientist will be an added advantage


Join us early and own the product that decides what thousands of stores stock each week, working directly with the merchants who use it and the team that builds it.

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Gurugram
6 - 10 yrs
₹47L - ₹52L / yr
Product Management

Senior Product Manager – Growth & Consumer Products (FinTech Preferred)


We're looking for a Senior Product Manager with 6+ years of product management experience, including the last 3+ years owning consumer-facing B2C products (app, onboarding, checkout, growth, or conversion funnels).


Must Have:


- Consumer product ownership (not backend/infrastructure-focused)

- Strong track record of improving conversion, engagement, revenue, or retention through A/B testing and data-driven experimentation

- Experience with analytics, funnels, cohorts, and product metrics

- Active use of AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) in product work

- Strong stakeholder management across business, engineering, and design teams

- Experience writing PRDs, user stories, and working in Agile environments

- Current or recent experience in a B2C product company (FinTech preferred; otherwise Series B+ startup)


Good to Have:


- Experience with AI/ML products, prompt engineering, LangChain, or RAG.



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