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Overview
Lead / Manager

Strategy & Execution Manager, Professional Services

Confirmed live in the last 24 hours

Databricks

Databricks

Compensation

$118,900 - $204,250/year

United States
On-site
Posted March 11, 2026

Job Description

CSQ127R28

Job Overview

The Strategy & Execution Manager exists to operationalize Professional Services strategy using AI. You will lead the optimization of programs, financial planning, and cross-functional initiatives to scale the business for continued hyper-growth. This role is unique: you will bridge the gap between high-level executive strategy and technical execution, specifically by leveraging AI automation to streamline PS delivery, improve margins, and automate complex internal workflows.

Impact You Will Have

  • Drive Executive Decisions: Lead business case analysis to determine investments across countries, verticals, and cloud service providers for the PS organization
  • Architect AI-Driven Operations: Own the end-to-end lifecycle of AI deployments (ideation to QA) designed to automate PS workflows and project staffing
  • Translate Strategy to Scale: Convert long-range planning into measurable KPIs, building automated dashboards that provide real-time visibility into PS health
  • Optimize GTM & Delivery: Develop actionable frameworks to align GTM teams, ensuring PS offerings are positioned effectively against competitors and integrated into the broader product roadmap

Key Responsibilities:

  • Strategic Planning & Execution - Support Long Range Planning, OKRs and identifying risks in planning assumptions
  • AI & Process Automation - Identify inefficiencies within the Professional Services lifecycle where AI agents can drive performance (e.g., automated SOW generation, resource matching, or customer health monitoring)
  • Cross-Functional Leadership & Enablement - Act as the connective tissue between Senior Sales/PS Leadership and technical R&D teams

What We Look For:

  • Experience: 7+ years in Strategy, Operations, or Product Leadership, with at least 2 years specifically managing AI tools, sales tech, or automated workflows
  • Technical Proficiency: Strong business analytics experience; Experience with low-code/no-code platforms and AI agent frameworks is a significant plus
  • Strategic Mind
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