Sr. Spclst , Data Analysis

Merck; Hyderabad; On-site; INR 3,000,000 - 7,000,000; Full time

Job summary

Merck in Hyderabad seeks a Senior Specialist, Data Product Owner to lead the strategy and roadmap for emerging data products within the DSPI team of DHH. You will partner with analytics, engineering, and business teams to deliver scalable data solutions that drive AI-ready insights.

The role requires 9+ years of data product management experience, strong Agile practices, and a track record of delivering enterprise data platforms in a global organization.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Engineering, Information Systems, Business, Life Sciences, or related field.
• 9+ years of experience in Data Product Management, Product Ownership, Data Strategy, or related functions.
• Experience delivering enterprise-scale data products, data platforms, analytics solutions, or information management capabilities.
• Strong understanding of data product lifecycle management and Agile methodologies.

Responsibilities

• Define and own the vision, strategy, and roadmap for emerging data products and foundational data solutions across DHH.
• Identify scalable, reusable data products that support analytics, reporting, AI/GenAI, content intelligence, engagement, and business decisions.
• Shape enterprise data products connecting domains to accelerate insight generation and data usability.
• Collaborate with data engineering, analytics, and platform teams to design and deliver scalable data products.
• Balance global and local market needs while maximizing reuse, standardization, and scalability.
• Establish product success metrics, adoption frameworks, and value realization measures.

Skills

Product ownership

Data governance

Education

Bachelor's degree in Data Science/CS/Engineering/BIS

Job description

Job Description

Senior Specialist, Data Product Owner

Emerging Data Products & Solutions, Digital Human Health (DHH)

About the Role

Our Digital Human Health (DHH) organization is transforming how data is leveraged to create value for patients, healthcare providers, and business stakeholders. Within DHH, the Data Strategy, Products & Innovation (DSPI) team is responsible for building and scaling enterprise data products that enable trusted insights, advanced analytics, AI-driven decision making, and business transformation across Human Health.

Primary Responsibilities

Product Strategy & Vision

Define and own the vision, strategy, and roadmap for emerging data products and foundational data solutions across DHH.

Identify opportunities to create scalable, reusable, and governed data products that support analytics, reporting, AI/GenAI, content intelligence, customer engagement, and business decision-making.

Shape enterprise data products that connect business domains, accelerate insight generation, and improve the accessibility and usability of trusted data assets.

Establish product success metrics, adoption frameworks, and value realization measures.

Content, Campaign & Engagement Data Products

Define and manage data products supporting the end-to-end content and campaign measurement lifecycle, including content creation, approval, activation, engagement, and performance measurement.

Drive the development of scalable data foundations for content, campaign, customer interaction, and engagement analytics.

Establish standards for metadata management, taxonomy, tagging, harmonization, and business definitions to improve discoverability, reuse, and analytical value.

Partner with business and analytics stakeholders to enable insights across content effectiveness, omnichannel engagement, campaign performance, and customer interactions.

Ensure content and engagement data products are structured to support advanced analytics, Agentic and GenAI use cases.

Data Product Design & Delivery

Define functional requirements, business rules, data specifications, and product acceptance criteria.

Collaborate with data engineering, architecture, analytics, and platform teams to design and deliver scalable data products.

Balance global and local market needs while maximizing product reuse, standardization, and scalability.

Shape business-ready datasets, integrated data models, and reusable product capabilities that support downstream analytics and business consumption.

Ensure solutions align with enterprise data architecture, governance standards, and long-term product strategies.

Stakeholder Collaboration & Value Management

Build strong partnerships across DSPI, Data Strategy, Analytics, Commercial, Technology, and Business teams.

Facilitate cross-functional alignment to ensure successful delivery and adoption of data products.

Develop executive-ready communications, value stories, business cases, and product adoption materials.

Drive stakeholder engagement through workshops, product demonstrations, onboarding sessions, and capability enablement.

Governance, Data Quality & AI Readiness

Establish and maintain governance frameworks, business rules, metadata standards, data quality controls, and product documentation.

Ensure data products are trusted, scalable, reusable, and fit for analytical and AI-driven consumption.

Partner with enterprise data governance teams to improve consistency, lineage, transparency, and stewardship across data domains.

Enable Agentic AI and GenAI readiness through governed taxonomies, contextual metadata, semantic relationships, and standardized business definitions.

Required Experience and Skills

Bachelor's degree in Data Science, Computer Science, Engineering, Information Systems, Business, Life Sciences, or a related discipline.

9+ years of experience in Data Product Management, Product Ownership, Data Strategy, Data Governance, Business Analytics, or related functions.

Experience defining and delivering enterprise-scale data products, data platforms, analytics solutions, or information management capabilities.

Strong understanding of data product lifecycle management, Agile methodologies, and product operating mo