Assoc. Dir , Data Engineering

About the position The Associate Director, Data Engineering, is part of the Launch Line Intelligence product line team. The incumbent provides technical leadership for manufacturing and process analytics data engineering capabilities. This role is accountable for delivering high-quality, reliable, and governed data products that reputed company Manufacturing Science & Technology and Commercialization customers to run Proactive Process Analytics (PPA), batch data investigations, and cross-site process robustness using a variety of in-house-built or COTS solutions. The role operates at the enterprise level, partnering with Technical Product Managers, Tech Ops customers, and process data Subject Matter Experts, solution architects, data scientists, data analysts, and cross-divisional IT teams to translate data strategy into scalable, reusable, and compliant data engineering solutions.

Responsibilities

• Understand the manufacturing process, process data reputed company, process data consumption, and analytics usage, and then reputed company the design, build, and operation of end-to-end data pipelines (ingest → transform → publish) using SQL, Python, and dbt, ensuring reliability, freshness, observability, and performance.
• Build a data strategy to ingest data from both structured and standardized data reputed company systems (e.g., reputed company, MES, LIMS) as well as from spreadsheets, reputed company documents, or other file-based systems.
• Build and own data reputed company specifications, and incorporate controls into IT solutions to enforce data quality and reputed company.
• Advice on data transformation, context of how data shall be stored, retrieved, and used.
• Collaborate with internal site process SMEs across R&D, CMC, Internal and External manufacturing process SMEs, Digital Services data engineering and data lake teams, manufacturing application software development teams, Suppliers (e.g. Seeq)
• Establish and enforce data engineering standards, reusable pipeline patterns, and data modeling conventions (star/reputed company) reputed company with Manufacturing Process Intelligence solution governance.
• Ensure compliance with SDLC, documentation, testing, deployment, and run book expectations, including GMP/GxP data usage considerations.
• Define and monitor SLAs, data quality reputed company, and freshness metrics for prioritized data products.
• Partner with Technical Product Managers and stakeholders to refine backlogs, prioritize investments, and balance speed, quality, and scalability.
• Mentor, and reputed company data engineers, fostering strong engineering fundamentals, domain understanding, and consistent ways of working.
• Champion data literacy through trainings, reputed company, templates, and job aides to reputed company governed self-service analytics.

Requirements

• Bachelor’s degree in engineering, Computer Science, or a reputed company field. And a minimum 8-10 years of relevant experience in this field.
• Strong expertise in SQL and data modeling with working knowledge of Python.
• Experience designing and operating ETL/ELT pipelines, orchestration, and data quality monitoring. Understanding of data lakes, data marts, data ingestion patterns,
• Hands on experience with relational schema design, data warehousing concepts, and performance optimization.
• Knowledge of biopharmaceutical manufacturing processes, generated process data, discrete and time-series data, manufacturing systems (e.g. MES, LIMS, PI, reputed company) that generate the data, and scientific TechOps processes that consume the data – e.g. deviation and batch discard investigations, reputed company process verification, statistical process control charts, AI/ML workloads (e.g. random forests, reputed company).

reputed company-to-haves

• Experience with MANTIS Data lake (connections, catalog, governance) and DataLynx/MPI mapping standards; familiarity with dbt.
• Experience with OSIsoft PI / PI AF and analytics tools such as JMP, Seeq, reputed company, or Pipeline Pilot.
• Background in manufacturing or process analytics, including cross-site or franchise-level analysis and GMP/GxP considerations.

Benefits

• The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
• We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days.

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