Senior Manager/manager, Specialization Coe

Salesforce Salesforce · Enterprise · Chicago, California - San Francisco, IL

Salesforce is seeking a Senior Manager/Manager for their Specialization CoE within the Global Solutions Center of Excellence. This role focuses on driving the analytical agenda for Solutions Engineering, building data infrastructure, and creating executive-ready storytelling to connect SE activity to business outcomes. The position involves defining data strategies, architecting dashboards, analyzing SE performance and the impact of AI-assisted workflows, and providing strategic recommendations to leadership. The role requires strong analytical rigor, executive communication, and proficiency in data visualization tools and SQL, with experience in AI tools for analysis being a plus.

What you'd actually do

  1. Define the 'single source of truth' strategy for Solution Engineering data in partnership with the Global Analytics team. As the business continues to evolve, you'll own the design and governance of the datasets, views, and data pipelines required to track SE program performance at scale.
  2. Architect and own scalable dashboards (Tableau, CRM Analytics) as well as MCP datasets that deliver real-time visibility into program health for stakeholders from operational leads to executive leadership.
  3. Own the analytical narrative around Solutions Engineering activity and outcomes, surfacing trends in productivity, pipeline influence, and engagement. Develop and maintain a clear point of view on how SE activity correlates with deal outcomes (conversion rates, cycle time, ACV) to validate and communicate organizational impact.
  4. Lead analytics for the Solutions Tools Program, developing a perspective on adoption trends and the business impact of AI-assisted workflows. Drive data-backed investment and enablement recommendations to leadership.
  5. Translate complex data into actionable, executive-ready insights. Own the analytical input into investment planning, resource optimization, and organizational strategy for the Solutions CoE.

Skills

Required

  • Executive Presence & Communication
  • Data Visualization & Storytelling
  • Analytical Rigor
  • Technical Proficiency (SQL, SOQL, Snowflake, Excel/Google Sheets)
  • Operational Business Acumen
  • Cross-Functional Collaboration
  • Self-Starter

Nice to have

  • Experience with Claude Code, Gemini, Cursor, ChatGPT, or equivalent tools to accelerate analysis and tool development
  • Exposure to Sales Operations, Sales Strategy, or a Solutions Engineering environment
  • Hands-on experience with Tableau for dashboard development and data storytelling

What the JD emphasized

  • measuring and communicating impact is critical
  • own the insights, frameworks, and narratives that shape how leadership understands and invests in the SE function
  • define and drive the analytical agenda
  • building the data infrastructure and executive-ready storytelling
  • connect SE activity to business outcomes
  • develop and own a clear point of view on SE performance, impact of AI on performance, organizational effectiveness
  • regularly bring that perspective to Solutions CoE and executive leadership to inform strategic decisions
  • Define the 'single source of truth' strategy
  • own the design and governance of the datasets, views, and data pipelines required to track SE program performance at scale
  • Architect and own scalable dashboards
  • deliver real-time visibility into program health for stakeholders from operational leads to executive leadership
  • Own the analytical narrative
  • Develop and maintain a clear point of view on how SE activity correlates with deal outcomes
  • validate and communicate organizational impact
  • Lead analytics for the Solutions Tools Program
  • developing a perspective on adoption trends and the business impact of AI-assisted workflows
  • Drive data-backed investment and enablement recommendations to leadership
  • Translate complex data into actionable, executive-ready insights
  • Own the analytical input into investment planning, resource optimization, and organizational strategy
  • Lead the development of data narratives and presentations for Quarterly Business Reviews (QBRs) and executive updates, with direct accountability for data accuracy and strategic framing
  • Own global Solutions capacity modeling and deliver GTM and headcount recommendations to operating units with a clear analytical rationale
  • Identify and resolve systemic gaps in data collection and operational processes, driving improvements that increase data quality and reliability across the organization
  • Ability to synthesize complex analytical findings into clear, compelling narratives for senior and executive audiences
  • Comfortable presenting to and influencing VP+ stakeholders, with strong written and verbal communication skills that instill confidence and drive alignment
  • Deep proficiency in Tableau and CRM Analytics/Einstein Analytics
  • Ability to shape executive narratives through data and deliver them clearly via slide presentations
  • Experience with Claude Code, Gemini, Cursor, ChatGPT, or equivalent tools to accelerate analysis and tool development
  • Proven ability to structure ambiguous problems, develop a point of view, and drive data-backed decisions at the leadership level
  • Strong experience aggregating and manipulating datasets using SQL, SOQL, or similar tools
  • Proficiency in Snowflake for data querying and exploration is required
  • Proficiency in Excel/Google Sheets is required
  • Ability to connect data to business outcomes and speak credibly to senior stakeholders about organizational performance
  • Exposure to Sales Operations, Sales Strategy, or a Solutions Engineering environment is a strong plus
  • Proven ability to align technical teams (IT, Data Science) and senior non-technical stakeholders (Sales/Solutions Leadership) around a common analytical agenda
  • High degree of intellectual curiosity and executive presence
  • Comfortable operating independently in ambiguous environments and driving initiatives from conception to delivery
  • Hands-on experience with Tableau for dashboard development and data storytelling is highly preferred