Data Product Owner - Data Solution Specialist

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

Required Skills

• Profound experience as a Product Owner of a Scrum team and associated practices and methods
• Experience in application support and maintenance
• Excellent analytical, technical troubleshooting and problem-solving abilities
• Background in Software Development of Java / .NET Enterprise Applications, test automation, and system/solution testing in different environments
• Familiarity with Agile tools (e.g., Jira, Azure DevOps, Confluence)
• Experience in defining and prioritizing user stories, acceptance criteria, and MVPs
• Solid IT background (Operating systems, Databases, Networks)
• Very good experience in DevSecOps practices
• Detail-oriented with excellent organizational skills
• Very good communication skills in multicultural environments

PRODUCT ANALYST

Bridge Business Goals and Engineering Excellence through rigorous documentation and Gap Analysis.

You're the foundational anchor that turns business complexity into crystal-clear product specifications. You don't just gather requirements—you interrogate them, map every edge case, and eliminate ambiguity before a single line of code is written. Own the creation of comprehensive documentation (BRD, PRD, FRD), bridge the gap between stakeholders and engineering, and ensure every feature is built with absolute clarity and precision.

Cambridge Wealth is a fast-growing, award-winning investment services and fintech firm obsessed with quality. We serve a high-profile clientele (domestic, NRI, retail, and ultra-HNI professionals) and have been recognized by the BSE and major Mutual Fund houses. You'll work on documentation and feature specs that matter to ultra-HNI wealth clients and innovative fintech users simultaneously.

YOUR MISSION:   

Own the requirements lifecycle—from stakeholder interviews and business analysis to comprehensive BRDs, PRDs, and FRDs. Hunt down functional bottlenecks and logical gaps before they reach development, translate complex wealth management workflows into unambiguous engineering specs, and keep the product pipeline airtight without cutting corners.

WHAT YOU'LL ACTUALLY BE DOING  

Documentation Mastery (BRD, PRD, FRD)  

Write comprehensive, crystal-clear Business Requirement Documents (BRDs), Product Requirement Documents (PRDs), and Functional Requirement Documents (FRDs). Translate business objectives and user feedback into specs that leave zero room for ambiguity, complete with detailed user stories, workflow diagrams, and strict acceptance criteria.

Gap Analysis & Requirements Engineering  

Proactively hunt for functional gaps, logical flaws, and edge cases in proposed features. Conduct rigorous root-cause analysis on requirement mismatches and clarify cross-system dependencies. You identify what is missing from a spec before engineering even looks at it.

Stakeholder & Business Alignment  

Act as the primary bridge between business stakeholders, UI/UX designers, and engineering teams. Facilitate requirement-gathering workshops, extract unstated assumptions, and translate complex financial and wealth management workflows into structured functional specifications.

Process & Workflow Mapping  

Design clear process flows, system interaction diagrams, and data mapping blueprints. Ensure that internal operational workflows (such as investor onboarding, KYC, and portfolio tracking) are thoroughly documented and optimized for digital execution.

UAT & Quality Assurance Support  

Partner closely with QA and engineering team to ensure implementation matches intent. Design comprehensive User Acceptance Testing (UAT) test cases, validate releases against original BRD/FRD criteria, and document post-release discrepancies.

Backlog Grooming & Refinement Support  

Collaborate with Product Managers/Owners to help refine, prioritize, and structure the product backlog. Ensure user stories are fully fleshed out with technical constraints, business rules, and precise acceptance criteria prior to sprint planning.

THIS ROLE IS NOT FOR YOU IF...  

• You prefer high-level vision setting over writing detailed granular specifications and functional requirements.
• You are uncomfortable digging deep into complex operational and financial workflows to find hidden logic gaps.
• You struggle with structuring ambiguous business ideas into formal, structured documentation.
• You treat documentation as an afterthought rather than a core engineering asset.

WHAT YOU NEED TO BRING  

Core Skills:  

• 2+ years as a Business Analyst/Product Analyst, or similar role writing detailed BRDs, PRDs, and FRDs in fast-paced fintech or startup environments.
• Mastery of Requirement Engineering: Proven ability to elicit requirements, write user stories, map workflows, and define rigorous edge cases and acceptance criteria.
• Sharp Gap Analysis & Problem-Solving: An uncanny ability to spot inconsistencies, missing logic, and integration blind spots before development begins.
• Strong Communication & Technical Writing: You write pristine specs that developers can build directly from, aligning business goals with technical execution.
• Basic understanding of UX principles and user-centered design methodologies to ensure functional specs align with intuitive user journeys.

Technical Toolkit:  

• Advanced Zoho/Google Sheets: Pivot tables, VLOOKUP, complex formulas, and data structuring.
• Documentation & Diagramming Tools
• SQL (basic-to-intermediate): For data extraction, querying requirements, and quick analysis.
• Zoho CRM & Zoho Analytics: Familiarity with navigating these platforms is a strong plus.

Domain Knowledge (Bonus Points):  

• Understanding of mutual funds, wealth management, fintech, or regulated financial services.
• Familiarity with complex investor onboarding flows, KYC compliance, or client delivery in financial services.
• Hands-on experience working within Agile/Scrum development teams as a requirement writer or scrum master

WHY JOIN US?  

• Massive Learning Curve: Learn how to build a Tech-led organization and a global-quality digital product from the ground-up (not just adding features to old software).
• You Matter: You’ll be a core contributor with a clear growth trajectory, not just a small cog in a huge wheel.
• Real Responsibility: Get competitive compensation and the flexibility that comes with proving yourself in a fast-growth, results-oriented environment.

OUR HIRING PROCESS  

1. Application & Initial Screen: Quick application with a few brief questions. (5 min)
2. Online Challenge: Showcase your aptitude, documentation skills, and gap-analysis capabilities. (70-90 min)
3. People Sync: Cultural and value alignment conversation. Do we think alike? (30 min)
4. Deep Dive In-Person Interview: Discussion with product and senior leadership on requirement structuring. (1 hour)
5. Founder Vision Alignment: Meet leadership to discuss product impact and your role in scaling. (1 hour)
6. Offer & Onboarding: Reference and BGV checks post-offer.

Note: This is a WFO opportunity at Prabhat Road, Pune.

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

supporting test scenarios and UAT.

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).

Working Style and Mindset

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.

Product Manager / Associate Product Manager

Turn messy real-world problems into simple products.

AbleCredit builds software for complex enterprise workflows where AI, APIs, business rules, human decisions, and real-world operations have to work together reliably. We care about building products that work in production - not just in demos. Our customers don't arrive with clean product requirements. They have operational problems involving people, policies, existing systems, edge cases, and workflows built over years. Product at AbleCredit means understanding that complexity deeply and turning it into reusable, simple product capabilities.

What You'll Own?

• Spend time with customers and internal teams to understand workflows, constraints, and the real problem behind requests.

• Translate ambiguous operational problems into clear product requirements, user journeys, and measurable outcomes.

• Work closely with engineering and design from discovery through rollout rather than handing off specifications.

• Prioritize based on customer impact, product strategy, effort, risk, and reuse across customers.

• Define success metrics and evaluate whether shipped products actually improve the workflow.

• Own launches, feedback loops, adoption, and iteration after release.

• Identify patterns across customer requests and turn them into reusable platform capabilities instead of one-off customizations.

• Maintain clarity on what we are building, why we are building it, and what we deliberately are not building.

What We're Looking For?

• 1-5 years of product, engineering, analytics, consulting, operations, or adjacent experience; level will be calibrated to experience.

• Strong problem decomposition and structured thinking.

• Ability to understand technical systems, APIs, data flows, and constraints well enough to work deeply with engineers.

• Excellent written and verbal communication.

• Comfort speaking with customers and asking detailed questions until the underlying workflow is understood.

• Bias toward evidence, prototypes, and shipped outcomes rather than process for its own sake.

• Ability to operate with ambiguity and make sensible trade-offs.

Nice to Have

• Experience with B2B SaaS, enterprise software, workflow products, fintech, or AI-assisted products.

• Technical background or prior engineering experience.

• Experience working with APIs, integrations, analytics, or operational products.

• Experience taking a product from discovery through adoption.

How Product Works Here?

Product managers are expected to understand the problem deeply, not act as ticket routers. The best solution may be a new feature, a platform primitive, a workflow change, an API, or deciding not to build something. Success is measured by customer and product outcomes, not PRD volume.

Associate Product Manager TAP INVEST

Location: Bangalore · On-site, 5 days/week in office

Experience: 1–3 years, in Product, Analytics, or Consulting Function:

Product Management

About Tap Invest

Tap Invest is India's leading Fixed Income Investment Platform, committed to empowering investors with secure and smart investment opportunities. Join us in the pursuit of Financial Freedom through our innovative approach to wealth creation. The Role As a Associate Product Manager at Tap Invest, you will own end-to-end product structure for your area - from framing the problem to shipping and measuring the outcome. You'll drive growth-centric features that move core metrics, and lead the infrastructural and platform changes that let the product scale reliably.

What You'll Do → Own end-to-end product structure — from problem framing and scoping to shipping and measuring outcomes. → Build growth-centric features that move activation, engagement, and retention metrics. → Lead infrastructural and platform changes needed to scale the product reliably. → Work closely with engineering, design, and stakeholders to turn strategy into shipped product. → Build high-impact product experiences that help users make smarter investment decisions. → Own outcomes, not just features or sprints. → Tackle complex, ambiguous problems across investments, user engagement, and more.

What We're Looking For → 1–3 years of experience in Product Management, Analytics, or Consulting. → Strong hands-on SQL skills — comfortable pulling and interpreting data independently. → Proven ability to scope problems and write clear PRDs from ambiguous inputs. → A strong sense of ownership — you drive things to closure without being told to. → Ability to lead with clarity, aligning engineering, design, and stakeholders around a shared plan. → Strong with data — comfortable using it to prioritize, validate, and course-correct.

Good to Have → Prior experience in Fintech or BFSI — a strong plus.  

Responsibilities:

• Understand and translate business and customer requirements into clear functional requirements, user stories, acceptance criteria, and process flows.
• Act as a consultant to stakeholders by understanding their needs and pain points, identifying gaps, and recommending practical solutions.
• Conduct detailed business, system, and gap analysis to identify problems, opportunities, feasibility, and potential solutions.
• Prepare functional artifacts including PRDs, epics, business process flows, and requirement documentation.
• Collaborate with Product Managers to define, refine, and prioritize the product roadmap based on business value and customer impact.
• Evaluate and recommend AI-driven solutions to improve product capabilities, business processes, and customer experience.
• Collaborate closely with UX/Design, Engineering, QA, and Data teams to validate requirements, assess feasibility, and ensure timely, high-quality delivery.
• Engage with customers, particularly Engineering, DevOps, and FinOps teams, to gather feedback, identify pain points, improve adoption and satisfaction, and validate product direction.
• Track and report key business/product metrics from inception through closure, using insights to identify areas for improvement.
• Support Agile planning, release cycles, sprint delivery, UAT, documentation, training, and enablement for internal teams and external customers.
• Drive product roadmap planning by collaborating with cross-functional stakeholders to prioritize features, define business requirements, and align product initiatives with strategic goals.
• Leverage AI tools and methodologies to enhance requirement gathering, documentation, user story creation, and identify AI-driven opportunities to improve product capabilities and user experience.

Must-Have:

• Bachelor’s degree in Computer Science, Engineering, Business or related field (Master’s preferred).
•  Preferably in cloud infrastructure, FinOps, cloud cost optimisation, or dev tools.
• Strong understanding of AWS or other public-cloud: you should know at least the major compute / storage / services / networking footprint and usage patterns. 
• Proven ability to translate customer needs into product features, write product requirements (PRDs), and work with engineering teams on execution.
• Proficiency with product management, collaboration, and analytics tools (e.g., Jira, Confluence, Figma, Productboard, BI dashboards, PostHog)

Product Manager – AI/GenAI

Our AI platform that lets people ask questions of their enterprise data in natural language and get trustworthy answers. The hard part isn't the model — it's the fit between what the product can genuinely do and what customers actually need, over data that is never as clean as anyone hopes. We're hiring a Product Manager to own that fit: to do the detailed thinking on customer pain, competitive landscape, and where the technology is going, and to turn it into a sharp, defensible product proposition and roadmap. You'll work closely with the CTO (who currently carries this thinking) and become the person who owns the depth beneath it.

What you'll own

• Proposition & positioning. Take fuzzy capability and turn it into a clear, honest, defensible articulation of what Jiva is, who it's for, and why it wins. Kill the gap between what's sold and what's deliverable.

• Customer intelligence (within the current structure). Sales and Delivery own the customer relationship today; you build the customer picture through them —mining PoC post-mortems, win/loss, readiness audits, sales-call notes, and Delivery's ground truth. Extract real jobs-to-be-done, separate stated wants from underlying pain, and bring a synthesized customer voice into the room. Over time, earn a path to direct customer contact — but you'll start by getting more 

out of the signal the field teams already carry than anyone does today.

• Competitive & technology intelligence. Track the space — RAG, text-to-SQL, tabular/relational foundation models, agentic systems, the commercial players — and synthesize it into product direction. Know what's real and what's marketing.

• Requirements & roadmap. Translate the above into crisp requirements and a prioritized roadmap, in partnership with Engineering. Make the trade-offs explicit.

• Sales & Delivery enablement. Own the "what we can honestly promise" story so field teams stop overselling and start qualifying. You are the source of truth on capability boundaries.

Must-haves

• 5+ years in B2B / enterprise product management, ideally on data, analytics, AI/ML, or platform products.

• Demonstrated ability to frame a proposition — you can show us a product or feature where you turned raw capability into a positioning that won customers. Portfolio evidence, not a claim.

• Technical fluency in AI/data. You understand RAG, LLMs, text-to-SQL, and data quality well enough to judge feasibility vs. hype and to earn engineers' respect. You don't need to code; you need to reason.

• Customer discovery skill — and the resourcefulness to apply it 

indirectly. You've run structured discovery and can distinguish what customers say from what they need. Just as important here: you can extract sharp customer insight secondhand — through sales and delivery teams, deal histories, 

and product usage — because you won't have direct customer access on day one.

• Evidence-driven and structured. You validate before you evangelize. Strong written thinker — you can put a proposition on one page and defend it.

Nice-to-have

• Exposure to NL→SQL, semantic layers, knowledge graphs, or enterprise data governance.

• 0-to-1 or turnaround experience — comfort building the function, not just running it.

• Experience selling into or building for regulated / data-sensitive enterprises

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.