Job Description

Why Patients Need You

Technology impacts everything we do. Pfizer’s digital and ‘data first’ strategy focuses on implementing impactful and innovative technology solutions across all functions from research to manufacturing. Whether you are digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives.

What You Will Achieve

You will help Pfizer build its information technology solutions. You will leverage your technical skills to design, develop and implement IT solutions which satisfy the short term or long terms needs of Pfizer. You will work on systems architecture, network systems and application infrastructure to deliver results.

As a Senior Manager, your advanced knowledge of the principles and concepts in the discipline and comprehensive knowledge of other disciplines will enable you to lead complex projects across the division. As part of the Enterprise Data and Solution Engineering team, which is part of Analytics & Data Organization within the Chief Digital Office is responsible for the development and management of 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.

How You Will Achieve It

• Lead a team colleagues and contractors to fill PGS UDH and build Common Data Models by applying F.A.I.R (Findable, Accessible, Interoperable, Reusable) principles
• Be the data management expert, engaging with leadership and other key stakeholders to drive adoption of good data management practice across the business.
• The Data Management lead will champion and train colleagues in how to get the most from data, ensuring data is efficiently and effectively captured, processed, stored and disposed of.
• Enable workflows to enforce approval and validation of data
• Focused on essential data processes, governance, controls, data migration & integration, data maintenance, data quality assurance & control, and archiving
• Capture business requirements for data management functionality that at a technology layer, can be deployed to improve business efficiency. This will include assisting in the creation and delivery of a data management systems roadmap to enable the business to maximize the potential of the use of data across the business.
• Works with product owner, architects, analysts, data engineers and scrum to run data factory
• Provides up-to-date documentation, descriptions, and flow diagrams, ensuring any changes to the business rules on data are documented and communicated effectively
• Sets and monitors quality standards for data and its attributes, such as metrics and KPIs.
• Ensures security and compliance for data are defined that adheres to privacy laws, industry regulations, and corporate compliance mandates
• Collaborate with team to identify and act on opportunities for consistent process improvement
• Train teams to ensure technology standards, patterns, and practices are understood and implemented by all teams and partners
• Manage and maintain field mappings
• Liaise with all global partners as required to define and deploy mapping and integrations between platforms
• Ensure Data operations
• Sets and improves SLA’s
• Find optimizations to reduce cost of ownership
• Architect processes to simplify compliance, processing, latency etc

Qualifications

Must-Have

• BS/MS degree in Computer Science, Engineering or related field
• Knowledge in supply chain management
• Ability to manage a data factory team, intake demand, maintain portfolio, strategize, plan, manage and execute
• Experience in running Agile team
• Bring innovation, agility, simplification and efficiencies for faster onboarding of data to data lake
• Knowledge and understanding of batch, real-time data processing tools, engines and services.
• Experienced with data preparation and ETL: Informatica, Talend, Alteryx, etc
• Experience with Software engineering best-practices, including but not limited to version control (Git, TFS, Subversion, etc.), CI/CD (Jenkins, Maven, Gradle, etc.), automated unit testing, Dev Ops.
• 10 or more years of experience with one or more general purpose programming languages, including but not limited to: SQL, Java, Scala, C, C++, C#, Swift/Objective C, Python, or JavaScript
• Understanding of AWS Cloud stack (EC2, S3, Redshift) or Google Cloud Platform
• Understanding and experience of modern data platforms like (Snowflake, Redshift, BigQuery, Spark, Teradata, etc).
• Architected end-to-end data pipelines with a cloudor on prem stack
• Working knowledge of Biotech / Pharma experience is a plus
• 5+ years of experience as a Data Engineer / 3+ years of experience as a Data Architect
• 5+ years of experience Data warehousing, data modeling, and data transformation
• 5+ years of experience designing complex and inter - dependent data models for analytic use cases.

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 Communicator: Can understand, translate, and distill the complex, technical findings of the team into commentary that facilitates effective decision making by senior leaders; can readily align interpersonal style with the individual needs of customers
• Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork; comfortable providing guidance and sharing expertise with others to help them develop their skills and perform at their best; helps others take appropriate risks; communicates frequently with team members earning respect and trust ofthe team
• Proactive Self-Starter: Takes an active role in one’s own professional development; stays abreast of analytical trends, and cutting-edge applications of data

Nice-to-Have

• Master's degree
• Relevant pharmaceutical industry experience
• Experience working on global programs a plus
• Good understanding for what the business customers expectations are and what their preferences are and how digital fits in
• Strong interpersonal skills and experience working within a team environment across business functions to influence a desired outcome

 
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
 

Last Date to Apply for Job: 4/6/2023

Relocation assistance may be available based on business needs and/or eligibility.