Sr Manager Data Intelligence, Supply Chain Planning

Role Summary

Data Intelligence, Supply Chain Planning is part of Supply Chain Intelligence within Global Supply Chain division at Pfizer. We are the PGS Business Owner for all relevant supply chain planning data that is required to ensure the Kinaxis Rapid Response planning platform performs as designed and provides PGS with 5-year, resource constrained network supply plans that are utilized by the global stakeholder community for all relevant business processes.

The Next Generation Planning & Detailed Scheduling software platform (nGPS), data & related business process is intended to plan & schedule Pfizer's entire internal & external supply network from procurement of key raw materials through in-market replenishment of finished goods to the 1st paying customer. This platform will support ~$60B+ annual revenue, $15B+ annual COGS & $15B+ inventory investment.

This new role is one of two new roles, each of which will have segmented responsibility for critical data domains: valid transportation lanes with mode & duration; safety stock polices including time varying strategies; lot size & replenishment frequency strategies; shelf life planning parameters; goods issue & goods receipt lead-time planning parameters; bottle-neck resource capacity availability planning parameters; supplemental planning bill-of-material information including planning success rates; planning horizon recipe information including capacity consumption; responsible planner master data.

Role Responsibilities

This exciting new role have responsibility to maintain and continuously improve current core data domains with expectation of future expansion to adjacent data domains. Core responsibilities of these roles include the following:

Perform wide range of tasks relating to data extraction, data scrubbing, and data transformation, maintenance of metadata and data dictionaries.

Design and implement governance and life cycle management processes for all in scope data domains.

Run SQL queries to identify data issues, data fixes, manual extracts, etc.

Design conceptual, logical, and physical Data modelling to support the Enterprise Master Data Management system.

Apply data quality techniques such as match, merge, profiling, score carding, data standardization, and parsing using enterprise data quality platforms.

Assist with troubleshooting and resolving MDM-related issues and provide proven solutions aligning with master data strategies and best practices.

Perform data fixes using advanced SQL and staging tables.

Provides subject matter expertise on: Master Data Management and ETL (Extract, Transform & Load) Concepts.

Ultimate accountability for the accuracy of all in-scope data including execution of any data updates required to ensure accuracy when endorsed by leadership.

Collaboration & partnership with all relevant connected business processes & Digital solutions to ensure both alignment of strategic roadmaps and seamless integration of existing data domains & business processes. This includes establishing and maintaining key partnerships within the OpU's, Quality, S&OE, GSC & Digital as well as key partnerships with the solution/program owners of SAP ERP, Planet Together, PGS UDH, Predictive Plant Acceleration, Manufacturing Cycle Time, Network Strategy systems, PGS Analytics, etc.

Development, documentation and communication to the stakeholder community of the intended purpose of all in-scope data attributes and their associated definitions and acceptable values ensuring organization alignment & understanding.

Design, development, implementation & operation of all required business processes to ensure data health monitoring, rapid data health issue identification & remediation. Visual management of performance metrics at all relevant management levels including the leverage of next generation AI technologies to drive data health performance.

Execute any required stakeholder training & participate in any required data governance forums.

Qualifications

Bachelor's degree in Mathematics, Statistics, Computer Science, Management Information Systems or closely related technical discipline; master's degree in Data Science is a plus.

7+ years proven experience in data management / data architecture.

Proficiency in SQL & Python or R.

Extensive experience with ETL processes and tools.

In-depth knowledge of data modelling, data architecture and data warehousing.

Good understanding and expertise in Supply Chain network planning, financial operations & related systems

Experience developing multiple cleansing and standardization scenarios using mappings & industry standard products.

Experience collaborating with developers on designing & developing web-services that can integrate Master Data with other systems.

Working knowledge of business reporting tools BOBj & Tableau.

Experience implementing large-scale, complex, Master Data Management products.

Experience working in an agile environment with cross-functional teams.

Experience working with cloud technologies like AWS S3, Oracle RDS, and Snowflake.

Working knowledge of Kinaxis Rapid Response is a plus.

Ability to communicate complex technical concepts to non-technical stakeholders.

Evidence of innovation, problem-solving and structured thinking skills.

Must be able to work both independently and in a team environment with limited direction to complete work assignments accurately and on time, including prioritizing multiple requests for competing projects along with day-to-day customer support.

Proven track record delivering simple, practical & sustainable solutions.

Must have strong customer service and total data quality orientation.

Fluency in English required.

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.

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

• Participate in meetings that occur at off hours due to global time differences

• Ability to travel at least 10%+ of year as required, including international travel

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.

#LI-PFE

Purpose

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let's start the conversation

Equal Employment Opportunity

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Se valorarán las candidaturas que puedan aportar certificados oficiales de discapacidad.

The only available locations for new employees are Madrid or Barcelona

Information & Business Tech

#LI-PFE

4915099