Strategy & Execution Manager, Professional Services

CSQ127R28

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.

• 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

• → 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 Mindset: Proven ability to interpret complex data sets (e.g., cloud infrastructure costs, market sizing) to derive actionable investment insights
• →Communication: Ability to present complex concepts to executive stakeholders in a clear, concise fashion
• →A proactive approach to problem-solving with a focus on continuous improvement
• →Adaptability & Curiosity

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.