Lead Analyst Salesforce Data Cloud Hygiene

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Analysis · Business Intelligence

In short

Emerson is seeking a Lead Analyst for Salesforce Data Cloud Hygiene to ensure data compliance, quality, and integrity across their Salesforce ecosystem. This role involves defining governance practices, managing data streams, and partnering with various teams to maintain trusted data foundations for analytics and AI initiatives.

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 to show quality trends, priority issues, ownership, and remediation progress.
Coordinate with Security, Legal, Compliance, and Architecture teams to ensure Salesforce data practices align with Emerson 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/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 Emerson enterprise needs.
Drive continuous improvement initiatives that reduce duplicates, improve master data alignment, clarify reporting definitions, and increase confidence in Salesforce data.

Requirements

Salesforce Data Cloud, including data streams, identity resolution, profile unification, segmentation, calculated insights, and activation governance
Data governance frameworks, master data management, stewardship operating models, data quality monitoring, and data issue remediation
Data privacy, regulatory compliance, data masking, retention, consent, access controls, and audit readiness
SQL, data profiling, transformation logic, data lineage concepts, and quality rule design
Enterprise data architecture patterns, source-of-truth management, Salesforce-to-ERP synchronization, and integration-aware data controls
Analytical thinking and attention to detail paired with the ability to focus teams on the highest-value data improvements
Cross-functional collaboration across business process owners, data owners, integration teams, architecture, security, compliance, and delivery partners
Policy development and enforcement with pragmatic flexibility for implementation realities
Clear communication with both technical and business audiences on data standards, risks, root causes, and remediation progress
Process improvement mindset and persistence in driving sustained data quality outcomes after implementation
Salesforce Data Cloud certification required

Desired Qualifications

Salesforce Administrator, Salesforce AI Associate, data governance, MDM, privacy, or analytics certifications valued
Manufacturing or industrial data management experience
Experience with Salesforce-to-ERP data synchronization and master data alignment
Master Data Management tooling or enterprise data catalog experience
Data modeling for multi-org Salesforce environments
Experience supporting large-scale Salesforce data migration, cleansing, enrichment, or consolidation programs
Bachelor's degree required in Information Systems, Data Management, Computer Science, Engineering, Business Analytics, or a related field
Master's degree preferred
7+ years of experience in data management, data governance, data quality, MDM, 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 with the ability to translate data quality problems into measurable remediation plans and operating controls

Benefits

Competitive benefits plans
Variety of medical insurance plans
Employee Assistance Program
Employee resource groups
Recognition programs
Flexible time off plans
Paid parental leave (maternal and paternal)
Vacation and holiday leave

Skills

Salesforce Data CloudSQLData GovernanceMaster Data ManagementData QualityData PrivacyData MaskingData LineageSalesforceERP

#Salesforce Data Cloud#Data Hygiene#Data Governance#Data Quality#Data Compliance#Salesforce#CRM#Analytics#Data Management#Information Technology

About Emerson

Emerson is a leading global technology, software, and engineering company providing innovative solutions for customers in industrial and commercial markets. We help customers in the world’s most essential industries solve the biggest challenges of modern life. Every day, our global workforce fulfills our unified Purpose and lives out the Values we hold close as an organization: Integrity, Safety & Quality, Support Our People, Customer Focus, Continuous Improvement, Collaboration, and Innovation. Across the globe, we are united by a singular Purpose: We drive innovation that makes the world…

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