Product Owner (Reference and Market Data)

Location: Hyderabad, Hi-Tec City, India; full-time onsite role

Company

hirify.global provides financial technology and enterprise financial products and services.

What you will do

• Own, prioritize, and continuously refine the product backlog in line with product strategy, customer needs, business priorities, and roadmap commitments.
• Partner with the Product Manager to define product vision, roadmap themes, market opportunities, and success measures.
• Translate financial-market requirements into epics, features, user stories, process flows, business rules, and acceptance criteria.
• Collaborate with Engineering, QA, UX, Data, Architecture, Operations, and business stakeholders to clarify requirements, manage dependencies, and support delivery.
• Lead backlog refinement, sprint planning, sprint reviews, product demonstrations, release planning, and stakeholder feedback sessions.
• Manage product, data, process, and dependency risks while monitoring adoption, data quality, user satisfaction, delivery predictability, and business value.

Requirements

• Bachelor’s degree in Finance, Business, Technology, Economics, or a related discipline; equivalent relevant experience may be considered.
• Experience as a Product Owner, Business Analyst, Product Manager, or similar role in financial technology, market data, investment management, or enterprise financial products.
• Strong knowledge of financial markets, investment products, reference data, instrument lifecycles, asset classes, and financial-services workflows.
• Experience with reference-data sourcing, vendor mapping, normalization, enrichment, lineage, reconciliation, golden-source practices, and data-quality controls.
• Working knowledge of Bloomberg, LSEG Data & Analytics, S&P Global Market Intelligence/Markit, FactSet, and ICE Data Services.
• Experience with Agile/Scrum delivery, Jira, user-story creation, acceptance criteria, APIs, data integrations, testing, dependencies, and production releases.

Culture & Benefits

• Collaborative and inclusive work environment.
• Focus on employee safety, inclusion, authenticity, and respect for different perspectives.
• Employment decisions are supported by AI-based recruiting tools with human review.