Sr. Manager Data Engineering-Manufacturing Data/Analytics Applications

Job Description

Role Overview:In this vital role, you will be responsible for building, managing, and mentoring an impactful team of data scientists and data engineers operating within agile product teams across Amgens global manufacturing network. Your main focus will be on developing and maintaining advanced analytics applications, data pipelines, and operational frameworks that drive business value, data integrity, and operational efficiency throughout the manufacturing processes. You will need to be deeply familiar with manufacturing data and its diverse use cases, with hands-on expertise in Databricks and AWS technologies. Your strong background in software engineering, data management, and cloud architectures will be crucial for fostering innovative solutions in a highly regulated, fast-paced environment.Key Responsibilities:- Team Leadership: Manage and mentor a team of data scientists and data engineers, fostering technical excellence, collaboration, innovation, and continuous improvement.- Agile Product Delivery: Oversee multiple agile product teams developing and maintaining manufacturing data and analytics applications used at Amgens global manufacturing sites.- Data Pipeline Development: Lead design, implementation, and optimization of data pipelines enabling ingestion, validation, transformation, and publishing of data across cloud and on-premises systems, with a focus on Databricks and AWS.- Manufacturing Data Expertise: Ensure solutions are tailored to manufacturing data use cases, including process optimization, predictive maintenance, quality analytics, and regulatory compliance.- Collaboration & Collaborator Engagement: Partner with various teams to align operational priorities and ensure solutions meet evolving business needs.- Governance & Compliance: Drive adherence to data quality, privacy, GxP regulations, and audit readiness.- Technology Strategy: Evaluate and guide the lifecycle management of emerging technologies to enhance analytics capabilities for advanced manufacturing use cases.- Incident Management & Root Cause Analysis: Serve as the partner concern point for data-related and application incidents, ensuring timely resolution and continuous improvement.- Vendor & External Partnerships: Manage external partnerships, budget, and resources to support strategic objectives.- Documentation & Knowledge Sharing: Oversee comprehensive documentation, training, and knowledge management programs to support team development.- Change Management: Champion change management strategies to embed data-driven thinking, analytics adoption, and agile methodologies.- Representation: Represent Amgens Manufacturing Data Engineering strategy, practices, and results to senior leadership and external partners.Qualifications Required:- Doctorate degree / Masters degree / Bachelors degree and 12 to 17 years in Engineering, Computer Science, Data Science, Information Systems, or a related field.- Minimum 8 years of experience in data engineering, analytics applications, and solution architecture, with expertise in manufacturing data environments.- Extensive experience architecting and delivering solutions using Databricks and AWS technology stacks for manufacturing data use cases.- Proven leadership of global, multi-site engineering teams, including direct management, mentorship, and technical talent development.- Strong background in the end-to-end software development lifecycle and agile methodologies.- Experience with data pipeline development, ETL processes, job scheduling, monitoring, and incident management.- Deep understanding of GxP, validation, data privacy, and compliance requirements for pharmaceutical and biotechnology manufacturing environments.- Proficiency in programming languages for data engineering and analytics automation.- Knowledge of AI/ML concepts and their application to manufacturing analytics.- Excellent communication and collaborator engagement skills.- Experience managing budgets, vendor relationships, and external partnerships.(Note: Preferred qualifications and additional details of the company have been omitted as per the request) Role Overview:In this vital role, you will be responsible for building, managing, and mentoring an impactful team of data scientists and data engineers operating within agile product teams across Amgens global manufacturing network. Your main focus will be on developing and maintaining advanced analytics applications, data pipelines, and operational frameworks that drive business value, data integrity, and operational efficiency throughout the manufacturing processes. You will need to be deeply familiar with manufacturing data and its diverse use cases, with hands-on expertise in Databricks and AWS technologies. Your strong background in software engineering, data management, and cloud architectures will be crucial for fostering innovative solutions in a highly regulated, fast-paced environment.Key Responsibilities:- Team Lead

Keyskills :
Data EngineeringChange ManagementData ScientistsData EngineersAgile Product DeliveryData Pipeline DevelopmentManufacturing Data ExpertiseCollaborationCollaborator EngagementGovernanceComplianceTechnology StrategyIncident ManagementRoot Cause Ana