Strategic Data Analytics Lead – Enterprise Platform

salesforce.com, inc.; Indianapolis (IN); On-site; USD 150,000 - 227,000; Full time

Benefits offered by this job

Time off programs

Medical insurance

Dental insurance

Vision insurance

Mental health support

Paid parental leave

Life insurance

Disability insurance

401(k)

Employee stock purchase plan

Job summary

Salesforce, Inc. seeks a Data Analytics Senior Lead for the Messaging Platform Analytics & Operations (MPAO) team. This role governs analytics roadmaps, translates business needs into scalable data architectures, and drives reporting from Tableau visuals to AI applications.

You will collaborate with business stakeholders, data engineers, and data scientists to deliver enterprise-wide analytics capabilities and ensure alignment with marketing and operations goals.

Qualifications

• 8–12+ years in business intelligence, data analytics, or data product management.
• Proven analytics roadmap ownership, including building a business case.
• Proficiency in SQL and Tableau; strong Snowflake understanding.
• Excellent written and verbal communication with executives.
• Experience with Salesforce ecosystem is a plus.

Responsibilities

• Govern the analytics backlog and roadmap for Messaging Platform capabilities.
• Define standardized data schemas, ingestion cadences, and technical specs.
• Build KPI frameworks to measure platform health and feature adoption.
• Partner with Data Engineering and Data Science leadership on pipeline design.
• Set UAT and launch quality standards for analytics deployments.
• Raise data literacy and enable self-serve analytics across marketing and operations.

Skills

Analytics leadership

Roadmap ownership

SQL

Tableau

Executive communication

Data platform knowledge

Tools

Snowflake

Salesforce Marketing Cloud

Agentforce

Slack

Job description

Salesforce, Inc. seeks a Data Analytics Senior Lead for the Messaging Platform Analytics & Operations (MPAO) team. This role governs analytics roadmaps, translates business needs into scalable data architectures, and drives reporting from Tableau visuals to AI applications.

You will collaborate with business stakeholders, data engineers, and data scientists to deliver enterprise-wide analytics capabilities and ensure alignment with marketing and operations goals.