Recruise India Consulting Pvt Ltd
Website:
recruiseindia.com
Job details:
Responsibilities
Stabilise & Improve the Current State:
- Take ownership of our existing data product — assess gaps, stabilise performance, and deliver near- term improvements that create immediate value for customers and internal teams.
- Audit and rationalise a portfolio of legacy custom reports built on stored procedures — understand the business problems they solve, document them, and define a clear migration path.
Define the Data Lakehouse Vision:
- Define the vision and roadmap for Company's data lakehouse, grounded in deep customer research and a clear understanding of where data solutions deliver the most value.
- Apply a Jobs to Be Done framework to uncover what customers are truly trying to accomplish and translate those insights into a prioritised product backlog.
- Conduct ongoing customer discovery with clients and customer-facing teams (Customer Success, Sales, Professional Services) to ensure the roadmap reflects real customer pain and opportunity.
- Work closely with the Data Architect and Database Engineer to communicate requirements clearly . You define the what and why; they own the how.
- Champion an AI-first approach to visualisation and insight delivery, evaluating and selecting third-party AI tooling rather than building bespoke visualisation layers.
Build & Deliver Data Products:
- Define and ship customer-facing data products — including APIs, datasets, and consumption layers that customers or customer-serving teams directly use and derive value from.
- Productise Company's data as a revenue stream — define how data and APIs are packaged, tiered, and commercialised for customers and partners.
- In partnership with product stakeholders, own the API product strategy — defining APIs not just as technical interfaces but as sellable, scalable products with clear value propositions, entitlement models, and a developer experience that delights customers.
- Partner with engineering to translate customer-driven requirements into clear, actionable briefs.
- Ensure data quality, governance, reliability, and documentation across all data products.
Own the AI Data Strategy:
- Serve as the product owner of Company's AI data foundation — defining what data needs to be available, in what form, and to what quality standard to power AI and ML workloads.
- Use customer research and Jobs to Be Done methodology to define intelligence layer product requirements; what AI-powered features and experiences customers need, handed off to technical teams for execution.
- Collaborate with Company's AI strategy stakeholders to align the data product roadmap with AI product priorities.
- Champion AI-first approaches to data consumption: evaluating and recommending AI-powered visualisation and insight tools.
Lead & Grow the Team:
- Begin as a senior individual contributor with direct leadership responsibility — you will be the data product function at organisation initially.
- Work in close partnership with a Database Engineer and Data Architect, providing product direction and prioritisation while they drive implementation.
- Build out your team as the platform matures, with a planned trajectory to hire and lead a Product Manager and Product Owner.
- Act as a player-coach: credible enough to go deep on architecture and technical decisions alongside engineering peers, while driving strategy and stakeholder conversations at the executive level.
Skills and Qualifications:
Required Qualifications:
- 8+ years of experience in data product management or related roles, with at least 3 years in a leadership capacity.
- Deep expertise in Jobs to Be Done and customer discovery — ability to uncover what customers truly need from data and translate that into a compelling product roadmap.
- Strong product instincts — knows how to prioritise ruthlessly, write clear requirements, and drive a backlog in an Agile environment.
- Solid working knowledge of data concepts (SQL, data modelling, APIs, ETL/ELT, BI tools), enough to be a credible partner to a Data Architect and Database Engineer.
- Experience defining and shipping data APIs as commercial products — including packaging, entitlements, and usage-based models.
- Understanding of data monetisation strategies — how to turn data assets into revenue-generating products.
- Strong understanding of AI and ML data requirements — how to define product needs for AI-powered features and intelligence layers.
- Familiarity with LLMs, generative AI, and AI-powered product surfaces — and how they consume and depend on structured, high-quality data.
- Strong stakeholder management skills — able to translate between engineering, product, and executive audiences.
Preferred Qualifications:
- Familiarity with Power BI source integration or similar third-party BI connectivity.
- Exposure to AI-powered analytics or visualisation tooling.
- Experience with dbt, Airflow, or modern data orchestration tools.
- Background in a SaaS or multi-product environment where data is fragmented across systems.
- Prior experience in financial data, market data, or fintech
Please share your resume to divya.rajan@recruiseindia.com
Click on Apply to know more.