Senior Director of Data Platform, Salesforce

• 10+ years of experience in data engineering, data platform, or infrastructure engineering roles, including 5+ years in engineering leadership at the Director level or above
• Proven track record building and scaling data platforms (ingestion pipelines, warehousing, semantic/metrics layers) at consumer or enterprise SaaS scale
• Experience leading through organizational change — team consolidations, re-orgs, or multi-team integrations
• Demonstrated success partnering with Data Science / Analytics leadership as a peer stakeholder
• Strong track record of hiring, developing, and retaining engineering managers and senior ICs
• Excellent cross-functional communication skills, with experience presenting technical vision and strategy to executive stakeholders
• A related technical degree required

Desirable

• As Senior Director of Data Platform, you will lead a ~40-person organization and own the full data stack — from infrastructure and ingestion through to data products, semantic layers, and AI-facing data services
• You’ll partner closely with Data Science & Analytics as a strategic peer while driving a bold technical vision: making Slack’s data platform the best-in-class substrate for both human analysts and AI agents. This is not a maintenance role. We’re looking for someone who sees the agentic future of data platforms and wants to build it
• Architect the data layers agents rely on— Design and ship data APIs, MCP servers, and semantic interfaces that let AI agents (Slackbot AI, internal coding agents, customer-built Agentforce agents) query, reason over, and act on Slack’s data autonomously
• Transform the semantic layer — Evolve our metrics platform from a human-query tool into a machine-readable knowledge that agents can navigate, with governed metric definitions, lineage, and natural-language access patterns
• Build real-time data products — Move beyond batch analytics to streaming data infrastructure that supports sub-second agent decision-making, real-time experimentation, and low-latency retrieval
• Ship agentic analytics tooling — Create the next generation of self-serve analytics where AI agents draft queries, detect anomalies, generate insights, and surface recommendations — replacing manual dashboard-watching with proactive, agent-driven intelligence
• Establish AI-native observability — Instrument the data stack with LLM-aware tracing (OpenTelemetry GenAI conventions), token/cost attribution, and quality metrics that treat AI agents as first-class consumers of data infrastructure
• Drive the Data MCP strategy — Own the vision for how Slack’s data warehouse, metrics layer, and analytics tools are exposed to AI agents via MCP servers, making Slack’s data the most agent-accessible enterprise dataset in the industry
• Own and unify the Data Platform roadmap across infrastructure, ingestion, data governance, tooling, semantic layer sub-teams
• Serve as the DRI for Data Platform, representing the team and work in leadership planning and resolving cross-team priority conflicts
• Partner directly with the Data Science & Analytics organization — establishing and running an effective operating model
• Set data freshness SLAs, warehouse reliability, and cost optimization standards across ingestion and infrastructure teams and ensure the data platform meets those standards and goals
• Build and scale engineering capacity — hire, develop and retain top EM and senior IC talents
• Champion a strong data platform identity and culture
• Partner with product, infrastructure, and DevXP leadership on cross-cutting initiatives