Sr Manager Data Intelligence, SC Planning

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

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.

How You Will Achieve It

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

Must-Have

Bachelor’s degree in mathematics, Statistics, Computer Science, Management Information Systems or closely related technical discipline.

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.

Nice-to-Have

Master’s degree in data science.

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.

Work Location Assignment: Flexible.

 
Other Job Details

Last day to apply: July 23, 2024.

Relocation support: No.

The annual base salary for this position ranges from $117 300,00 to $195 500,00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17,5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

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

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.

Information & Business Tech#LI-PFE

---