Scrum Master

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

Position Overview:

We are building a new retail merchandising platform on top of that data. It answers what to stock, how much, and in which store, combining sales, catalogue, and customer data with GeoIQ’s location attributes at retail scale: thousands of stores, tens of thousands of SKUs, decisions made weekly.

As the product manager on this platform, you will own how those decisions reach the people who make them: category managers, planners and store operations teams. The models are being built alongside the product, so you will decide what gets built, in what order, and how its output fits into a buyer’s weekly planning cycle. You will work every day with data science and engineering, and what you ship changes what a store actually orders.

Responsibilities:

• Own one or more platform modules (demand forecasting, assortment planning, replenishment, new-launch allocation) from problem definition through to adoption.
• Spend time with merchandisers, category managers and store teams to understand how buying and replenishment decisions are made today, often in spreadsheets, and where that process breaks.
• Write specs that data science and engineering can build from: the decision being supported, its inputs, the business rules and constraints (minimum display quantities, pack sizes, warehouse reserves, brand rules), and what a good output looks like.
• Design the workflows that let planners act on model output with confidence: recommendation screens, overrides, explanations and exception queues.
• Define success metrics with the business (sell-through, stockouts, inventory turns, forecast accuracy, recommendation acceptance) and set up pilot-versus-control rollouts to measure them.
• Run pilots with store clusters and categories, gather feedback, and decide what changes before a module scales to the full network.
• Lead discovery when the platform extends to new brands and markets, each with its own data, supply chain and planning process.
• Keep the roadmap, priorities and trade-offs clear to merchandising, category, supply chain and leadership teams.

Expectations:

• Work experience: 2–5 years, with at least 2 years in product management
• Prior experience taking a product from problem definition to adoption by real users
• Comfortable with data: able to write SQL, work through a spreadsheet model, and read a model evaluation or A/B test result
• 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.

Strong Senior Product Manager Profile with retail-tech background and POS product leadership

2

Mandatory (Experience 1): Must have a minimum of 8 years of experience in product management with significant ownership of POS

3

Mandatory (Experience 2): Must have experience leading a product team and owning the strategy, roadmap, and business outcomes for Cloud, Offline, and Mobile POS

4

Mandatory (Experience 3): Must have experience building enterprise-grade products requiring offline resilience, high availability, and large-scale integrations (ERP, OMS, WMS, CRM)

5

Mandatory (Experience 4): Must have experience in omnichannel retail journeys including billing, payments, promotions, loyalty, and inventory visibility

6

Mandatory (Experience 5): Must have experience in SaaS product lifecycle management and ERP integrations

7

Mandatory (Note): Must be willing to work from the Gurgaon office 5 days a week and attend a face-to-face final interview round

About The Sleep Company

The Sleep Company is India's fastest-growing D2C sleep and comfort brand, built on patented Smart GRID technology and trusted by over 5 lakh customers. Our portfolio spans mattresses, pillows, toppers and ergonomic seating, sold across online channels and a growing network of experience centres nationwide. We move fast, think big and put the consumer at the centre of everything we do.

Role Overview

As Senior Product Manager, you will own the product roadmap for your category or platform. You will work with Engineering, Design, Marketing, Operations and Retail to build products and experiences that customers love and that grow the business.

Key Responsibilities

• Own the product vision, strategy and roadmap for your area
• Turn customer insights, data and business goals into clear priorities
• Write clear PRDs and user stories, and manage the backlog
• Lead product launches from idea to release, working closely with Engineering and Design
• Track key metrics such as conversion, retention and NPS, and act on what the data shows
• Run experiments and A/B tests to improve the customer journey across web, app and stores
• Work with Marketing, Supply Chain and Retail teams to keep product, pricing and experience aligned
• Study the market and competitors to spot new opportunities
• Mentor junior product managers and share best practices

Requirements

• Product management experience, ideally in D2C, e-commerce or consumer products
• Proven record of launching and scaling products
• Strong analytical skills and comfort with tools such as GA, Mixpanel or SQL
• Clear communication and the ability to manage multiple stakeholders
• Sound understanding of the omnichannel customer journey
• Bachelor's degree required; MBA is a plus

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