Senior Data Analytics Lead — Marketing Platform Insights

100 Salesforce, Inc.; Chicago (IL); On-site; USD 150,000 - 227,000; Full time

Benefits offered by this job

Time off programs

Medical insurance

Dental insurance

Vision care

Mental health support

Paid parental leave

Life and disability insurance

401(k)

Employee stock purchasing program

Job summary

Salesforce is seeking a Data Analytics Senior Lead to govern the analytics roadmap for Marketing Cloud messaging capabilities. The role sits at the crossroads of strategy, product, and technical execution, translating business needs into scalable analytics and data architectures.

The ideal candidate has 8–12+ years in BI or data product management, with strong SQL and Tableau skills, and a track record of influencing VP+ stakeholders across Marketing, Product, and Engineering.

Qualifications

• 8-12+ years in BI, data analytics, or data product management with enterprise roadmaps.
• Experience owning an analytics or data platform roadmap and building business cases.
• Proficiency in SQL and Tableau; solid understanding of Snowflake architectures and analytics concepts.
• Strong written and verbal communication to influence VP+ level stakeholders.

Responsibilities

• Govern the analytics backlog for Messaging Platform capabilities and align with business value.
• Define data schemas, logging, and ingestion cadences; produce technical specs for engineers.
• Develop KPI frameworks to measure platform health and adoption enterprise-wide.
• Partner with Data Engineering and Data Science to shape pipeline design and architecture.
• Set validation standards for analytics deployments including UAT and checks.
• Design enablement programs to raise data literacy and self-serve analytics adoption.

Skills

SQL

Tableau

Snowflake

Data analytics

Executive communication

Tools

Tableau

Snowflake

SQL

Job description

Salesforce is seeking a Data Analytics Senior Lead to govern the analytics roadmap for Marketing Cloud messaging capabilities. The role sits at the crossroads of strategy, product, and technical execution, translating business needs into scalable analytics and data architectures.

The ideal candidate has 8–12+ years in BI or data product management, with strong SQL and Tableau skills, and a track record of influencing VP+ stakeholders across Marketing, Product, and Engineering.