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Company

Original Job Post

Pfizer · 2 days ago

Sr Manager Data Intelligence, SC Planning

Pennsylvania, United States

Full-time

Onsite

Senior Level

$117K/yr - $196K/yr

7+ years exp

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Responsibilities

Perform a 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.

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.

Qualification

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Data ManagementData ArchitectureSQLPythonETL ProcessesData ModellingData WarehousingSupply ChainFinancial OperationsETL ToolsBusiness ReportingAgile EnvironmentCloud TechnologiesAWS S3Oracle RDSSnowflakeBOBjTableauTechnical ConceptsProject DeliveryData QualityFluency in EnglishProblem-SolvingStructured ThinkingInnovationCommunicationCustomer ServiceTeamwork

Required

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.

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.