Data and Analytics Lead

Opella; Hyderabad; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Opella in Hyderabad seeks a Data and Analytics Lead to shape and execute data, AI, and GenAI strategy for the AMEA region. This hands-on role builds data science solutions and acts as the bridge between AMEA business needs and Opella's global Data & AI initiatives.

You will coordinate with regional Digital Leads, manage multiple stakeholders, and drive end-to-end AMEA initiatives from prototype to production, aligning regional priorities with global investments while delivering tangible business

Qualifications

• 12-15 years total experience in Data Science, AI/ML, or Analytics with hands-on delivery
• Strong cross-cultural stakeholder communication and regional coordination
• Experience in FMCG, Pharma, or Healthcare is a plus
• Hands-on development with Python and SQL; familiarity with modern ML/GenAI frameworks

Responsibilities

• Act as AMEA point of contact for data, data science, and AI matters, surfacing regional priorities
• Coordinate with Digital Leads across AMEA to align local problems with the regional roadmap
• Manage multiple stakeholder conversations across countries and functions, driving progress
• Identify reusable global assets and accelerate regional delivery by adaptation
• Design, build, and deploy data science and GenAI solutions from prototype to production
• Provide regular updates on initiatives, blockers, and wins to stakeholders

Job description

About Company

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.

Data and Analytics Lead - JD

Job Title : Data Analytics Lead

Location : Hyderabad

About Company

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 half a billion consumers worldwide – and counting.

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 4 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 at www.opella.com.

Job Summary

We are seeking a highly experienced and strategic leader to fill the role of Data and Analytics Lead. This role is pivotal in shaping and executing our data, analytics, and AI strategy for AMEA region. The hired individual will be the operational backbone of our Data, AI & Innovation charter across AMEA. This role sits close to the ground — building and shipping data science, AI, and GenAI solutions — while also acting as the bridge between the AMEA business, regional Digital Leads, and Opella's global Data & AI initiatives. You'll represent the AMEA point of view in cross-regional conversations, keep multiple stakeholder relationships warm and moving in parallel, and continuously scan global projects for what can be adapted or reused locally instead of rebuilt from scratch. Over time, this person should be capable of independently owning AMEA-specific initiatives end-to-end, freeing up regional leadership to focus on strategy and scale.

Key Responsibilities

• AMEA Point of Contact: Act as the day-to-day representative for AMEA on data, data science, and AI matters — surfacing regional needs, constraints, and priorities into broader Opella conversations.
• Regional Digital Lead Coordination: Build and sustain working relationships with Digital Leads across AMEA countries, translating local business problems into shared data/AI priorities and keeping them aligned with the regional roadmap.
• Continuous Stakeholder Management: Comfortably manage several concurrent, ongoing stakeholder conversations across countries and functions — following up, unblocking, and keeping many parallel threads moving without anything falling through the cracks.
• Global-to-Regional Synergy Scouting: Track global Data, AI, and GenAI initiatives, and proactively identify which are relevant, reusable, or adaptable for AMEA — avoiding duplicate builds and accelerating regional delivery by leveraging global investment.
• Hands-On Delivery: Design, build, and deploy data science and GenAI solutions (from prototype to production) — this is a builder role, not purely an oversight one.
• Reporting & Visibility: Provide clear, regular updates on regional initiatives, blockers, and wins to regional and global stakeholders.

Experience

Qualifications

• 12-15 years total experience in Data Science, AI/ML, or Analytics, with demonstrable hands‑on delivery (not purely strategy/oversight).
• Experience working across multiple countries/cultures or in a regional/matrixed role is a strong plus.
• FMCG, Pharma, or Healthcare industry exposure is a plus, not mandatory.

Skills

• Strong hands‑on technical skills: Python, SQL, and modern ML/GenAI frameworks.
• Working knowledge of cloud and data platforms — Snowflake, Databricks, Airflow, DBT, or equivalent; AWS/Azure familiarity a plus.
• Strong foundation in data science and machine learning (Python, SQL, statistical modeling, forecasting); hands‑on experience with Generative AI and LLMs (prompt engineering, RAG, fine‑tuning) using platforms like Azure OpenAI or Anthropic Claude; working knowledge of MCP (Model Context Protocol) and agentic AI frameworks (LangGraph, Semantic Kernel, or similar) to connect AI assistants to enterprise systems; familiarity with cloud data platforms (Snowflake, Databricks, Azure/AWS).
• Applied / Business Skills
• Translating ambiguous regional business problems into scoped data/AI solutions
• Cross‑cultural stakeholder communication and the ability to manage several parallel conversations
• Pragmatic build‑vs‑reuse judgment — spotting when a global asset can be adapted rather than rebuilt
• Excellent stakeholder communication — able to manage multiple relationships simultaneously across geographies and translate technical work into business language.
• Self‑directed and comfortable with ambiguity — able to take a loosely scoped regional problem and drive it to a solution independently.
• Collaborative mindset — genuinely curious about global initiatives and motivated to adapt rather than reinvent.

Why Join Us?

This is a unique opportunity to lead a critical function at the intersection of business strategy and technology. You will have a direct impact on our business performance in a high-growth region and work with a talented, passionate team to build the future of data and AI in the FMCH industry.