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. 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.
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.
Experience
~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 robust plus.
~ FMCG, Pharma, or Healthcare industry exposure is a plus, not mandatory.

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).
Translating ambiguous regional business problems into scoped data/AI solutions
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.

📌 Data Management - Team Leader (Permanent) (Hyderabad)
🏢 Opella
📍 Hyderabad