Data Manager

The Data Manager supports the implementation of processes for how data is consumed and produced by Salesforce products, including governance, architecture, and quality, in order to meet evolving DPE objectives and technology landscapes.

The jobholder works with DPE team members to create and support implementation of the data strategy for meeting specific business objectives. As a core member of a marketing technology team, supports solution development on Snowflake(BDX) and Salesforce in order to ensure the data requirements of business objectives are met with compliance, high quality, extensibility, and commercial success.

Key Responsibilities.

Core Data

• Own the implementation of efficient data ingestion solutions, batch processing, and event-based streams to enable highly personalized and segmented, real time partner communication

  
  

• Set-up process and guidelines for DPE stakeholders to request, ingest and consume high quality data on Salesforce

  
  

• Connect datasets from different systems like BDX, Mulesoft and more into a unified solution to deliver high-value data on Salesforce Data Cloud

  
  

• Work with data engineers by providing them guidance on business architecture of DPE data needs.

Monitoring and Data Quality

• Monitor relevant SLIS and SLOs to support ownership of data solutions end-to-end

  
  

• Support the definition of quality requirements for data assets, based on standards for all data quality dimensions, to ensure design of high-quality data solutions

  
  

• Develop data validation solutions for validating values and schemas and use them to ensure data accuracy and reliability

  
  

• Implement solutions for monitoring, failure detection, and data availability and use them to ensure data timeliness and completeness

  
  

• Ensure data timeliness based on business requirements by driving strategy and implementation of monitoring and failure detection

  
  

• Responsible for data management related Data Governance processes as defined in the Data Governance Framework (E.g. monitoring of data quality, management of data lineage, and maintenance of logical data model).

DPE General

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