Job title: Market Data Lead

Location: Hyderabad

Opella is the self-care challenger with the purest and third-largest portfolio in the Over-The-Counter (OTC) & Vitamins, Minerals & Supplements (VMS) market globally.

Our mission is to bring health in people's hands by making self-care as simple as it should be for over half a billion consumers worldwide.

At the core of this mission is our 100+ loved brands, our 11,000-strong global team, our 13 best-in-class manufacturing sites, and four specialized science and innovation development centers.

Headquartered in France, Opella is the proud maker of many of the world's most loved brands, including Allegra, Buscopan, Doliprane, Dulcolax, Enterogermina, Essentiale, and Mucosolvan.

B Corp certified in multiple markets, we are active players in the journey towards healthier people and planet.

Find out more about our mission to bring health in your hands at www.opella.com

The Digital Data, AI & Analytics team at Opella drives transformation through data-driven decision-making, advanced analytics, and AI-powered solutions. Within this team, the Master Data, Data Governance & Market Data group ensures robust data practices, governance, and actionable insights to support strategic business decisions across the organization.

Role Purpose

The Market Data Lead is accountable for the strategy, evolution, adoption and value realization of Market Data Foundation (MDF), Opella's global market data and sell-out intelligence data foundation.

MDF provides a centralized foundation for Global Sell-Out (SO), Point-of-Sale (POS) and syndicated market data, bringing together data from external market-data providers such as IQVIA, Circana and other strategic sources across markets. The platform enables standardized, trusted and timely access to market performance, growth, competitive and market-share insights.

The Market Data Lead acts as the strategic bridge between business, data, technology and external data providers, translating business needs into a clear product vision and roadmap while ensuring that the underlying data products are scalable, governed, reliable and fit for decision-making.

The role owns the product from strategy and prioritization through delivery, adoption, continuous improvement and value realization.

Key Accountabilities

1. MDF Strategy & Vision

Define and continuously evolve the vision, strategy and multi-year roadmap in alignment with Opella's business and data strategy.
Establish a clear product operating model covering business capabilities, data products, technology, governance and user experience.
Identify opportunities to increase the business value generated from market and sell-out data.
Translate strategic business priorities into a prioritized product backlog and investment roadmap.
Balance short-term business needs with long-term scalability, standardization and architectural sustainability.
Act as the primary product advocate for MDF across business and technology leadership.

2. Global MDF Ownership

Own the end-to-end lifecycle of MDF as a global data product.
Define and maintain product requirements, capabilities, user journeys, data products and product standards.
Drive the onboarding and industrialization of market data across countries, providers and data domains.
Establish reusable approaches for data acquisition, integration, harmonization, quality management and consumption.
Drive the evolution from market-specific solutions toward standardized, scalable global capabilities.
Ensure that market data is accessible through fit-for-purpose products, APIs, analytical datasets and downstream consumption channels.

3. Data Provider & Vendor Management

Own the product relationship with strategic market-data providers and technology partners.
Partner with Procurement, Legal, Finance and business stakeholders on vendor strategy, contracts, licensing and commercial considerations.
Drive vendor consolidation and rationalization where appropriate.
Establish clear expectations for data availability, quality, timeliness, service levels and issue resolution.
Evaluate emerging market-data providers and new data sources based on business value, coverage, quality and scalability.
Ensure effective management of provider dependencies and data licensing constraints.

4. Data Quality, Governance & Trust

Establish strong product-level accountability for data quality, completeness, timeliness and usability.
Partner with Data Governance and Data Management teams to define and enforce relevant data standards.
Ensure appropriate ownership of critical data elements, metadata, business definitions and data lineage.
Drive resolution of systemic data-quality issues and recurring market/provider challenges.
Establish product KPIs and data-quality measures that provide transparency to business stakeholders.
Ensure that MDF remains a trusted source for market performance and competitive intelligence.

5. Product Delivery & Technology Partnership

Work closely with engineering, architecture, data platform and delivery teams to translate product requirements into scalable technical solutions.
Own prioritization across enhancements, technical debt, platform modernization, data onboarding and business requests.
Ensure delivery teams have clear objectives, requirements, acceptance criteria and measurable outcomes.
Drive Agile product delivery practices and continuous improvement.
Ensure architectural decisions support scalability across markets, data providers and future analytical use cases.
Proactively identify technology risks, dependencies and opportunities for automation and simplification.

6. Business Partnership & Adoption

Build strong relationships with global and local business stakeholders who consume market and sell-out data.
Understand business problems and translate them into scalable product capabilities rather than market-specific solutions wherever possible.
Drive adoption of MDF capabilities across relevant markets and functions.
Establish mechanisms to capture user feedback and translate insights into product improvements.
Develop product communications, enablement and adoption strategies for new capabilities.
Demonstrate measurable business value from the product through improved data accessibility, speed, quality and decision-making.

7. Product Performance & Value Realization

Define and monitor a product scorecard covering areas such as:

Market and country coverage
Data freshness and time-to-market
Data quality and completeness
User adoption and consumption
Data-product availability
Provider performance
Cost efficiency
Automation and operational efficiency
Business value and stakeholder satisfaction

Use these measures to continuously optimize product investments and demonstrate MDF's contribution to Opella's data-driven decision-making agenda.

8. Innovation & Future Capabilities

Continuously evaluate opportunities to leverage AI, automation, advanced analytics and modern data-product architectures within the market-data ecosystem.
Identify opportunities to reduce manual processes and improve data onboarding and validation.
Explore new analytical capabilities that can be enabled through richer, standardized market data.
Partner with Data & AI teams to identify opportunities for intelligent data quality, anomaly detection and automated insights.
Keep the product aligned with evolving market-data, technology and industry practices.

Key Stakeholders

The Product Owner operates across a broad ecosystem of stakeholders, across Business teams, Digital and Technology teams, and External partners.

The role requires the ability to influence across organizational boundaries without relying solely on formal authority.

Leadership & Ways of Working

The Product Owner is expected to operate as a product leader and business partner, with accountability for outcomes rather than simply delivery of requirements.

Key leadership expectations include:

· Think strategically while maintaining strong execution discipline.

· Create clarity in complex, multi-stakeholder environments.

· Make transparent and data-driven prioritization decisions.

· Challenge the status quo and simplify where possible.

· Build strong relationships between business and technology teams.

· Create accountability across internal teams and external partners.

· Communicate effectively with both senior executives and delivery teams.

· Drive change across markets while respecting local business needs.

· Champion product thinking, reuse and scalable solutions.

About you:

Required Skills

Strong communication, negotiation, and interpersonal skills.
Demonstrated conflict resolution & problem-solving skills in a global environment.
Strong appetite to learn and discover, entrepreneur mindset.
Adaptable and open to change.
Team player, service-oriented.
Analytical and synthetic, able to formalize solutions, good writing skills.
Strong oral and written communication skills.
With leadership attitude, autonomy and results driven.
Role model our 4 values: teamwork, integrity, respect, courage.

Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Business, Economics, Mathematics, Statistics, or a related discipline.
Significant experience in Digital, Data, Analytics, Technology or Product Management.
Proven experience owning enterprise-scale digital or data products. Experience with market data, syndicated data, sell-out/POS data, consumer insights or commercial analytics.
Experience working with providers such as IQVIA, Circana or comparable market-data organizations.
Strong understanding of data platforms, data integration, data governance and analytics ecosystems.
Minimum 12+ years of professional experience across Digital, Data, Analytics, Technology, Product Management, Consulting or related disciplines.
5+ years of experience in Product Management / Product Ownership, preferably with enterprise-scale digital or data products.
Proven experience owning the strategy, roadmap, prioritization and lifecycle of complex data or technology products.
Experience working across global, multi-market organizations, managing stakeholders across business, technology and corporate functions.
Demonstrated experience translating complex business needs into scalable data and digital products.
Strong experience working with data platforms, data integration, data governance, data quality and analytics ecosystems.
Experience managing technology vendors, data providers, systems integrators and commercial partners.
Proven ability to lead cross-functional teams and influence senior stakeholders without direct authority.
Experience managing complex product portfolios involving multiple dependencies, markets, technology teams and external partners.
Demonstrated experience delivering measurable improvements in data accessibility, quality, timeliness, adoption, cost efficiency or business value.

Preferred Experience

Master’s degree in Business Administration, Data Science, Computer Science, Information Systems, Analytics, Engineering or a related field.
Relevant professional certifications in Product Management, Data Management, Data Governance, Agile/Scrum, Cloud or Analytics are advantageous.
Experience in Consumer Healthcare, FMCG, Pharmaceuticals, Life Sciences or another data-intensive industry.
Experience building or transforming enterprise data products / data platforms.
Experience with modern cloud and data technologies such as Snowflake, Databricks, AWS/Azure/GCP, APIs, data lakes/lakehouses and BI platforms.
Experience applying AI, automation or advanced analytics to data-product capabilities.
Experience leading data-platform modernization, vendor consolidation or global data transformation programs.

Core Competencies

Strategic Product Leadership

Product vision and strategy
Roadmap development
Portfolio prioritization
Value realization

Data & Technology

Data-product thinking
Data architecture and integration
Data governance and quality
Cloud and modern data platforms
Analytics and AI

Business Leadership

Commercial acumen
Global stakeholder management
Executive communication
Change management
Influencing without authority

Execution

Agile product management
Delivery governance
Vendor management
Risk and dependency management
Continuous improvement

Success Measures

Success in the role will be demonstrated through:

Expansion of MDF's global market and data coverage.
Improved availability, quality and timeliness of market data.
Increased adoption and consumption of MDF data products.
Reduced complexity, duplication and manual data processes.
Improved scalability of onboarding new markets and data providers.
Effective governance and accountability across the market-data ecosystem.
Improved vendor and data-provider performance and cost efficiency.
Delivery of measurable business value from market and sell-out data.
A sustainable product roadmap aligned to Opella's broader Digital, Data & AI strategy.
Re-establishment of MDF as a trusted, scalable global market-data product.

Role Definition

The Product Owner – MDF is accountable for making market data a scalable, trusted and business-oriented product, connecting data, technology and business needs to enable faster and better market decisions across Opella.

Why us?

At Opella, you will enjoy doing challenging, purposeful work, empowered to develop consumer brands with passion and creativity. This is your chance to grow new skills and be part of a bold, collaborative, and inclusive culture where people can thrive and be at their best every day.

We Are Challengers.

We are dedicated to making self-care as simple as it should be. That starts with our culture. We are challengers by nature, and this is how we do things:

All In Together: We keep each other honest and have each other's backs.

Courageous: We break boundaries and take thoughtful risks with creativity.

Outcome-Obsessed: We are personally accountable, driving sustainable impact and results with integrity.

Radically Simple: We strive to make things simple for us and simple for consumers, as it should be.

Join us on our mission. Health. In your hands.

Market Data Lead