Data Analytics Senior Lead

Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Data

Job Details

About Salesforce

Salesforce is the 1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

The Messaging Platform Analytics & Operations (MPAO) organization establishes global analytical standards and drives data-informed decision-making across messaging capabilities deployed on Marketing Cloud. We are seeking a Data Analytics Senior Lead to govern the product-driven analytics roadmap for enterprise's marketing email and push messaging platform.

Positioned at the nexus of marketing strategy, product management, and technical execution, this role is accountable for translating ambiguous business requirements into prioritized analytics strategies, standardized data architectures, and scalable reporting solutions—ranging from Tableau visualizations to Agentforce AI applications. The Senior Lead acts as the primary connective tissue between business stakeholders and data engineering teams, ensuring end-to-end alignment without direct software pipeline implementation.

What You’ll Be Doing

Strategic Roadmap Governance: Author, sequence, and manage the analytics backlog for Messaging Platform capabilities; evaluate trade-offs based on business value, engineering effort, and dependency risks to secure cross-functional consensus.

Requirements Architecture & Data Taxonomy: Define standardized business dimensions, data schemas, logging protocols, and ingestion cadences; produce developer-ready technical specs that set the architectural standard engineering teams build against.

Audit & Performance Frameworks: Drive ongoing gap analyses across platform capabilities to surface untracked events and schema blind spots; design and deploy standardized KPI frameworks that define how platform health and feature adoption are measured enterprise-wide.

Cross-Functional Program Leadership: Partner with Data Engineering and Data Science leadership to shape pipeline design and system architecture at the platform level, proactively resolving blockers before they reach delivery.

Launch Quality Standards: Set the standard for how platform analytics deployments are validated before launch — defining the UAT framework, business-rule checks, and sign-off criteria that engineering and QA execute against.

Organizational Enablement & Governance: Own the requirements and reporting-spec source of truth for the platform; design enablement programs that raise data literacy and elevate self-serve analytics adoption across marketing and operations.

You’re Our Person If...

Professional Experience: 8–12+ years in business intelligence, data analytics, or data product management, with a demonstrated record of defining and delivering enterprise-grade data platform roadmaps.

Roadmap & Strategic Ownership: Proven track record independently owning an analytics or data platform roadmap, including identifying investment white space and building the business case for it.

Technical & Analytical Competency: Proficiency in SQL and Tableau, supported by a strong foundational understanding of Snowflake data warehousing architectures and behavioral analytics concepts (event tracking, funnel analysis, and usage metrics).

Executive Communication: Excellent written and verbal communication skills; proven capability to influence executive leadership (VP+), facilitate cross-departmental collaboration and drive strategic alignment across Marketing, Product, and Engineering.

Even Better If...

Salesforce Ecosystem Experience: Direct professional experience with Salesforce products, including Marketing Cloud, Data Cloud, Agentforce, or Slack.

Domain Knowledge: Specialized background in enterprise (B2B) marketing operations, messaging architecture, or digital campaign analytics.

Global Operations: Experience collaborating across complex, matrixed global organizations and geographically distributed teams.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.