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Emerson Electric

Builds industrial automation tools and software

Lead Analyst Salesforce Data Cloud Hygiene

Data ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Experience with Salesforce Data Cloud, including data streams, identity resolution, profile unification, segmentation, calculated insights, and activation governance.
  • Knowledge of data governance frameworks, master data management, stewardship operating models, data quality monitoring, and data issue remediation.
  • Knowledge of data privacy, regulatory compliance, data masking, retention, consent, access controls, and audit readiness.
  • Proficiency in SQL, data profiling, transformation logic, data lineage concepts, and quality rule design.
  • Knowledge of enterprise data architecture patterns, source-of-truth management, Salesforce-to-ERP synchronization, and integration-aware data controls.
  • Ability to focus teams on high-value data improvements using analytical thinking and attention to detail.
  • Ability to collaborate across business process owners, data owners, integration teams, architecture, security, compliance, and delivery partners.
  • Ability to develop and enforce policies pragmatically, accounting for implementation realities.
  • Ability to communicate data standards, risks, root causes, and remediation progress to technical and business audiences.
  • Persistence and a process-improvement mindset to drive sustained data quality outcomes.
  • Salesforce Data Cloud certification is required.
  • Bachelor's degree in Information Systems, Data Management, Computer Science, Engineering, Business Analytics, or a related field is required.
  • Seven or more years of experience in data management, data governance, data quality, master data management, analytics, or enterprise application data leadership.
  • Experience defining and operating data governance, data quality, data privacy, retention, and compliance practices in enterprise systems.
  • Practical working knowledge of Salesforce data structures, Salesforce Data Cloud concepts, integration patterns, and data quality management.
  • Strong analytical skills to translate data quality problems into measurable remediation plans and operating controls.
  • Willingness to travel approximately 10–20% globally.

Responsibilities

  • Drive data compliance, quality, and integrity across the enterprise Salesforce ecosystem, including Salesforce core clouds and Salesforce Data Cloud.
  • Define, document, and enforce data privacy, retention, masking, handling, security, and regulatory compliance standards for Salesforce data.
  • Establish enterprise data quality rules, deduplication logic, enrichment standards, exception handling, and issue remediation processes.
  • Develop data health metrics, dashboards, and executive reporting that show quality trends, priority issues, ownership, and remediation progress.
  • Coordinate with Security, Legal, Compliance, and Architecture teams to align Salesforce data practices with enterprise policies and regulatory expectations.
  • Manage Data Cloud governance practices related to data streams, identity resolution, profile unification, segmentation readiness, calculated insights, and data activation controls.
  • Partner with Integration, MDM, ERP, and enterprise data teams to align Salesforce data flows, transformations, source-of-truth definitions, and synchronization expectations.
  • Define Data Cloud operating standards for data ingestion, mapping, consent and privacy considerations, identity rules, retention, data access, and monitoring.
  • Collaborate with AI Agentforce leadership to ensure AI use cases are grounded in accurate, permission-aware, compliant, and fit-for-purpose data.
  • Partner with Salesforce Data Stewards to define ownership, data standards, naming conventions, field governance, quality thresholds, and stewardship operating rhythms.
  • Support data migration, cleansing, enrichment, and validation activities across implementation waves and continuous improvement cycles.
  • Evaluate data quality tooling, MDM capabilities, and Salesforce data capabilities for fit against enterprise needs.
  • Drive continuous improvement initiatives that reduce duplicates, improve master data alignment, clarify reporting definitions, and increase confidence in Salesforce data.

Desired Qualifications

  • Salesforce Administrator, Salesforce AI Associate, data governance, MDM, privacy, or analytics certifications are valued.
  • Manufacturing or industrial data management experience.
  • Experience with Salesforce-to-ERP data synchronization and master data alignment.
  • Experience with master data management tooling or enterprise data catalogs.
  • Data modeling experience for multi-org Salesforce environments.
  • Experience supporting large-scale Salesforce data migration, cleansing, enrichment, or consolidation programs.
  • A master's degree is preferred.

About the Company

Emerson Electric

Builds industrial automation tools and software

Emerson Electric builds automation equipment and software for organizations that operate factories, utilities, and industrial facilities. Its instruments measure conditions such as pressure and flow, while valves, controllers, and software help operators regulate processes and track equipment performance. DeltaV manages industrial control systems, and the company also develops test and measurement tools used to validate electronic products. Customers pay for equipment, software licenses, and services that support installation, maintenance, and operation across a plant's life. Emerson was founded in 1890 and is headquartered in Clayton, Missouri, in the St. Louis area.

Company size
10,001+
Company stage
IPO
Headquarters
Clayton, MO
Founded
1890

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