WSA APAC

Sr Systems Analyst - Data Product Owner

WSA APAC Hyderabad, Telangana, India

Medical Equipment Manufacturing · 10,001+ employees

4 d ago
Senior (5-10 yrs) Full-time India
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About the role

The role acts as a primary liaison between business stakeholders and the engineering team to define and govern data products. Responsibilities include gathering requirements, maintaining business KPIs, ensuring data quality, and leading data governance activities.

What they look for

Systems Analysis Product Ownership Data Governance Data Engineering SQL Data Modeling Microsoft Purview Unity Catalog Data Quality Business Analysis Metadata Management Power BI Data Warehousing Compliance Reporting Stakeholder Management

Requirements

Candidates must have 5+ years of experience in systems analysis, product ownership, or data governance, along with a degree in a relevant technical field. Proficiency in SQL, data modeling, and experience with data cataloging tools like Microsoft Purview or Unity Catalog is required.

Full description

Driven by the passion to improve quality of people’s lives, WSA continues to grow as market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation in order to reach more people, more effectively.

What you will do

You will join the Data Platform & Products Team and serve as the primary liaison between business stakeholders and the engineering team, acting as the product owner for Data Engineering deliverables and owning requirements, governance, and the quality of what we deliver.

In practice, that means you will translate business intent into clear priorities, acceptance criteria, and delivery expectations so the team can build governed data products that are both technically sound and genuinely useful.

Gather and translate business requirements

  • Engage with stakeholders across Marketing Analytics, Product, Regulatory, Support, and Business teams to gather, analyse, and document analytical and compliance requirements.
  • Translate business needs into precise data product requirements and functional specifications that Data Engineers and the Data Architect can act on.
  • Facilitate workshops, requirement sessions, and review meetings to ensure alignment between business intent and technical delivery.

Define and govern data products and KPIs

  • Define and maintain business KPIs and metric definitions — specifying calculation logic, business context, and interpretation guidance — and ensure they are consistently applied across the organisation.
  • Support the creation and certification of data products and analytical datasets, ensuring they meet quality, lineage, and governance standards before being published for consumption.
  • Maintain business glossaries and data dictionaries that make data assets discoverable and understandable to non-technical users.
  • Promote standardisation of business metrics across teams, reducing conflicting definitions and improving trust in shared data.

Lead data governance and compliance activities

  • Support the implementation of data governance policies, standards, and practices across the data platform.
  • Maintain metadata, data lineage, and business classifications — working with tooling such as Microsoft Purview to ensure the data catalogue is accurate and up to date.
  • Assist with regulatory reporting requirements and compliance obligations, and support audit readiness activities.
  • Champion data stewardship across the organisation — helping data owners understand and fulfil their responsibilities.

Validate data quality and support adoption

  • Participate in data validation and acceptance testing for new and updated data products, ensuring delivered assets meet the requirements defined.
  • Support investigation of data quality issues reported by consumers, working with Data Engineers to diagnose and resolve them.
  • Drive adoption of certified data products and datasets across business teams — helping users understand what is available, how to use it, and why it is trustworthy.

Collaborate across functions

  • Act as the primary liaison between business stakeholders and the technical Data Platform team — keeping both sides aligned on priorities, requirements, and delivery progress.
  • Work closely with the Data Architect on data modelling decisions to ensure physical models reflect business semantics correctly.
  • Support the Lead Data Analyst and Analyst team by ensuring the data products they consume are well-documented, governed, and fit for purpose.

What you bring

Experience

  • 5+ years of experience in Systems Analysis, Product Owner, Business Analysis, Data Analysis, or Data Governance.
  • BE/B.Tech degree in Computer Science, Software Engineering, Data Science, or a related field; advanced degree preferred.
  • Experience working with analytics, reporting, or data platforms in a cross-functional environment.
  • Experience engaging with multiple business stakeholders — facilitating requirements sessions, managing expectations, and translating ambiguity into clear specifications.
  • Exposure to data governance programmes, metadata management, or compliance reporting environments.

Technical skills

  • SQL for data validation, exploration, and requirements verification
  • Data contracts (YAML-based) — authoring and maintaining data-contract.yml including schema definitions, KPI descriptions, column metadata, and governance attributes that feed Unity Catalog and downstream consumers
  • Unity Catalog — managing table and column descriptions, understanding catalog/schema/table hierarchy, and working with certified data product objects
  • Microsoft Purview — data cataloguing, metadata management, lineage tracking, and business classification
  • Power BI concepts — understanding how Gold layer data products are consumed in BI tools
  • Azure Monitor and Log Analytics (awareness) — understanding observability outputs for data quality and pipeline health discussions
  • Databricks notebooks (basic awareness) — ability to navigate and validate notebook outputs during data product acceptance testing
  • Data Warehousing concepts and dimensional modelling basics
  • Familiarity with data quality frameworks and lineage concepts

Personal competencies

  • You are a natural connector — you build trust with both technical and non-technical stakeholders and keep them aligned.
  • You are precise with definitions — you know that a poorly defined metric causes more damage than a missing one, and you push for clarity.
  • You are thorough in documentation — you treat well-written specs, glossaries, and governance records as deliverables, not afterthoughts.
  • You advocate for the data consumer — you think about how data products will be used and ensure they are discoverable, trustworthy, and well-explained.
  • You manage ambiguity well — you can take a loosely defined business question and turn it into a structured, actionable requirement.

Who we are

At WSA, we provide innovative hearing aids and hearing health services.

Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.

With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.

Sounds wonderful? We can't wait to hear from you.

WSA is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self.