Associate Manager - Data Engineering

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent thats bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegenes high-speed growth. We are purpose-driven.  We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.

Role: Associate Manager- Data Engineering

Job Description: The Associate Manager Data Engineering will lead the design, development, and optimization of data pipelines and platforms supporting analytics, AI/ML, and reporting solutions for pharmaceutical clients. The role requires strong technical expertise, pharma domain knowledge, and team leadership to ensure scalable and high-quality data solutions.

Experience
9-10 years of experience in data engineering / data platforms
Mandatory experience in Pharmaceutical / Life Sciences domain

Key Responsibilities
1. Data Engineering & Platform Development

Design, build, and manage scalable data pipelines for structured and unstructured data
Develop and maintain ETL/ELT processes for data ingestion, transformation, and integration
Work with data lakes, warehouses, and modern data platforms to enable analytics and AI use cases [Solution A...or Manager | Word]
Ensure high data quality, performance optimization, and reliability of data systems

2. Data Architecture & Solutioning

Collaborate with architects to implement data architecture strategies aligned to business needs
Support development of AI/ML-ready data ecosystems
Build reusable data frameworks and accelerators for analytics use cases

3. Pharma Data & Domain Expertise

Work with pharma datasets across:

Commercial & Omnichannel analytics
Apply domain business rules, data transformations, and compliance standards

4. Data Governance & Compliance

Ensure adherence to data governance, security, and compliance standards
Support implementation of regulatory requirements such as GxP, HIPAA, GDPR [Solution A...or Manager | Word]
Maintain metadata, lineage, and data quality frameworks

5. Stakeholder Collaboration

Work closely with analytics, reporting, AI/ML, and business teams to gather requirements
Translate business needs into technical data solutions
Support client discussions and provide data-driven recommendations

6. Team Leadership & Delivery

Lead and mentor a team of data engineers
Manage task allocation, code reviews, and delivery quality
Drive timely and high-quality project execution in a global delivery model

7. Continuous Improvement & Innovation

Identify opportunities to enhance performance, automation, and scalability
Enable adoption of modern tools and cloud-based data platforms
Contribute to capability building and innovation initiatives.

Required Skills

Strong expertise in Python, SQL, and data engineering frameworks
Hands-on experience with ETL/ELT tools and data pipeline development
Experience working with cloud platforms (AWS / Azure / GCP)
Strong understanding of data lakes, data warehouses, and big data technologies [Solution A...or Manager | Word]
Knowledge of data modeling and database design
Strong analytical, problem-solving, and debugging skills

Preferred Skills

Exposure to MLOps, AI/ML data pipelines, or GenAI ecosystems [Solution A...or Manager | Word]
Experience with pharma data vendors (IQVIA, Symphony, Veeva, CRM systems)
Knowledge of data orchestration tools (Airflow, Azure Data Factory, etc.)

Leadership & Behavioral Competencies

Strong ownership and accountability
Effective stakeholder communication
Ability to work in cross-functional, global teams
Proactive, detail-oriented, and solution-driven mindset.

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidates merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.