MSD Associate Director Data Integration Delivery Lead 

India, Telangana, Hyderabad 

476431998

• Be part of an organization driven by digital technology and data-backed approaches that supports a diversified portfolio of prescription medicines, vaccines, and animal health products

Role Overview

Are you ready to step into a leading IT role where you could help make a real differenceData Integration delivery lead anddriven insights

As the Data Integration Delivery Lead, yourresponsibility will beprojects and propose the most suitable approaches, methodologies, and architectures.In addition, you willclosely cooperate with thedevelopment and cooperatingon the constat improvement of the Data Engineering ecosystem.

You will overseedata engineering deliverythroughout the system lifecycle, from gathering requirements to implementing solutions. Working closely with clients,will be to deliver high-quality work products and deliverables. You will also play a key role in risk assessment, change management, and ensuring the successful delivery of project technical requirements.You will communicate project status to senior client leadership, fostering effective collaborations andclient satisfaction.

you will lead abe responsible fortheir performanceand development.

What will you do in this role:

• the toolsetutilizedbyvarious types

• Drive and manage theteam of Data engineersto ensure the best performanceduring the project life cycle

• Design, develop,andmaintaindata pipelines to extract data fromvarioussources and populateadata lake and data warehouse.

• s, DataScientists,andMachine Learning Engineers toidentifyand transform data for ingestion, exploration, and modeling

• Work withthedata governance teamtoimplement data quality checks andmaintaindata catalogs

• data orchestration, logging, and monitoring tools to build resilient pipelines

• Use test-driven developmentmethodologywhen building ELT/ETL pipelines

• Understand and apply concepts likeadata lake, data warehouse, lake-house, data mesh,and datafabric where relevant

• Develop data models for cloud data warehouses

• Develop pipelines to ingest data into cloud data warehouses

• eadinanagile engineeringenvironment, providing guidance on complex data and unplanned data challenges.

• provide feedback about the toolset and helpdefine product strategies

• Engage with keyproject stakeholdersto gain insight into short-term and long-term businessobjectivesand value delivery strategies.

• innegotiations with vendors to secure favorable terms and conditions.

• Retain and attract diverse,exceptional talent, fostering an inclusive environment.

What Should you have:

• Minimum of 5-7 years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context

• expertisein delivering large-scale information management technology solutions encompassing data integration and self-service analytics enablement.

• Expert in software/data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools).

• Strong working knowledge of at least one large-scale data processing technology (e.g.,High-performance computing, distributed computing), databases,and underlying technology (cloud or on-prem environments, containerization, distributed storage & databases)

• Cloud-native, ideally AWS certified.

• Strong interpersonal and communication skills (verbal and written),effectively bridging scientific and business needs; experience working in a matrix environment.

• Proven record of delivering high-quality results

• -centric approach.

• Innovative thinking, experimental mindset.

What we look for:

are among theintellectually curious, join us—and start making your impact today.