Associate Director - Data Analytics Services at Lilly

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

28 Feb, 26

Salary

0.0

Posted On

30 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, AI/ML, Site Reliability Engineering, Power BI, Azure Fabric, SAS, Business Objects, JMP, Databricks, Snowflake, AWS SageMaker Studio, Cloud-Native Tools, Automation, Infrastructure-as-Code, Data Governance, Compliance

Industry

Pharmaceutical Manufacturing

Description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Lilly’s Purpose At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Come bring to life technologies to lead in Pharma-tech! The Enterprise Data platforms enable the platform has developed an integrated and intuitive databases, integration and analytics platform. This platform enables Lilly business functions enables quickly utilize the database services, integration services and analytics platform. What you will be doing: The Associate Director – Analytic Platform Services & SRE will lead the operations, reliability, and performance engineering of enterprise analytics platforms, enabling self-service analytics, AI/ML model deployment, and data-driven insights across the organization. This role is pivotal in managing hybrid analytics ecosystems including Power BI, Azure Fabric, SAS, Business Objects, JMP, AI/ML, Databricks, Snowflake, and AWS SageMaker Studio, ensuring scalability, reliability, security, and compliance in a highly regulated pharmaceutical environment. The ideal candidate blends technical expertise in analytics and AI platforms with Site Reliability Engineering (SRE) principles, enabling innovation at scale for research, clinical, manufacturing, and commercial functions. How you will succeed: Strategic Leadership: Define and execute the analytics platform operations and SRE strategy, aligning with enterprise data and digital transformation roadmaps. Partner with enterprise architects, data scientists, and business stakeholders to scale analytics, AI/ML, and visualization capabilities for Finance, LRL, clinical trials, manufacturing, and commercial operations. Evaluate emerging cloud-native analytics and AI tools to ensure platforms remain future-ready and cost-efficient. Operations & Platform Management Oversee the day-to-day operations of analytics platforms including Power BI, Azure Fabric, Databricks, Snowflake, and AWS SageMaker Studio. Drive automation and Infrastructure-as-Code (IaC) for platform provisioning, scaling, and configuration management. Ensure high availability, low latency, and optimized query performance across all platforms to support advanced analytics workloads. Build and maintain data pipelines and integrations to unify data from Finance, clinical, lab, manufacturing, and commercial systems into analytics-ready formats SRE & Reliability Engineering Establish observability frameworks for analytics platforms with metrics, logging, and tracing for proactive performance monitoring. Define and track SLOs, SLIs, and SLAs for platform reliability and performance. Implement incident management, root cause analysis, and blameless post-mortems to improve Mean Time to Detect (MTTD) and Mean Time to Recover (MTTR). Develop self-healing mechanisms and automate capacity planning for scalable platform operations. Security, Compliance & Governance Ensure GxP and SOX compliance across analytics environments, particularly for sensitive Finance, clinical and manufacturing datasets. Implement strong identity and access management, role-based permissions, and data masking controls for governed analytics environments. Collaborate with InfoSec and Data Governance teams to enforce data lineage, data cataloging, and audit-readiness. Team Leadership & Collaboration Lead, mentor, and grow a global team of analytics engineers, SRE specialists, and platform administrators. Foster a data-driven culture by enabling self-service analytics and democratized insights across business units. Collaborate closely with data science, AI/ML engineering, and business analytics teams to enable seamless deployment of predictive and prescriptive models. Provide operational playbooks and governance frameworks to standardize platform management. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

Responsibilities

The Associate Director will lead the operations, reliability, and performance engineering of enterprise analytics platforms, enabling self-service analytics and data-driven insights. This role involves managing hybrid analytics ecosystems and ensuring scalability, reliability, security, and compliance in a highly regulated pharmaceutical environment.