Manager, UDH Data Engineering Lead

Role Summary

Pfizer has established a chief digital office which will lead the transformation of Pfizer into a digital powerhouse that will generate patient superior patient experiences that will result in better health outcomes.

The Enterprise Data and Analytics team, which is part of AI & Data Organization within the Chief Digital Office is responsible for the development and management of all data and analytic tools and platforms across the enterprise – from manufacturing to global product development and for all Pfizer countries. One of the team’s top priorities is the development of an enterprise data lake which will serve as the engine for the company’s digital transformation.

Pfizer is seekinga Data Engineer to help realize Pfizer Digital strategy on the cloud by designing and delivering data products. Data Engineer will design, architect and build upon our PGS (Pfizer Global Supply) Data Lake to develop value added data products that span the areas of Supply Chain Execution, Planning, Manufacturing, Quality, Logistics etc.

The Supply Chain Data Engineer will be hands on and have abilities to co-lead a group of talented engineers and partners with Digital Partner(s), Enterprise Architecture, and Business Unit stakeholders to develop and sustain the PGS data strategy and target data architecture. Data engineers also partner with solution development teams to ensure use case delivery goals while adhering to data architecture principles, guidelines, and standards.

Role and Responsibilities

Reporting to the Data Management Sr Manager, Data Engineering Manager will be responsible for data modeling and engineering with advanced data platforms team to drive digital outcomes.

• Conceive, design, and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs

• Develop complex data products that are beneficial for PGS and allow for reusability across enterprise.

• Lead/Co-lead a team of contractors that will deliver technical enhancements

• Design automated solutions for building, testing, monitoring, and deploying ETL data pipelines in a continuous integration environment

• Develop internal APIs and data solutions to power applications and promote connectivity

• Expand Pfizer’s portfolio of capabilities through coherent APIs for internal users and third parties.

• Develop new systems and tools to enable the teams to consume and understand data more intuitively

• Coordinate with backend engineering team to analyze data in order to improve the quality and consistency of our data

• Perform root cause analysis and resolve production and data issues

• Create test plans, test scripts and perform data validation

• Fine Tune SQL queries, programs, reports and ETL pipelines

• Work independently to innovate and build POC’s and Pilot’s identifying new approaches improving efficiency and simplicity

• Build and maintain data dictionary and process documentation

• Ability to innovate and present solutions to leadership, management, architects and developers.

• Provide hands-on technical and thought leadership across development, product management, operations, and engineering management through effective communication. Actively develop mentoring relationships within or across teams to help others further their careers

Professional and Leadership Characteristics

• Strategic Thinker: Understands the overall context, business implications and is able to think through a problem both conceptually and logically for better solutions

• Creative: Able to bring forth new ideas to improve our existing practices and takes calculated risks to innovate new capabilities within Pfizer Digital Business Analytics, with a focus on data products and analytics solutions

• Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how BA can provide value to the organization

• Adaptable: Demonstrates flexibility in the face of shifting targets, thrives in new situations

• Pioneering: Pushes self and others to think about new innovation and digital frontiers and ways to conquer them

• Ambiguity Tolerant: Successfully navigates ambiguity to keep the organization on target and deliver against established timelines

• Strong Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights

• Exceptional Commu