Strategy and Execution Director

GAQ
326R277 Databricks is seeking a Strategy and Execution Director to operationalize the Databricks corporate strategy by leading the design, implementation and optimization of processes, and engagement models. In this role, you will drive cross functional alignment to scale the business for continued hyper-growth. Successful candidates for the role will possess both a strategic business outlook, ability to design processes to scale and the keen analytical skills to be able to look at the data into the details and requirements of various strategic initiatives, while understanding the bigger picture and business objectives.

We are building a team that is more interested in getting it right than being right. We care more about winning the game than who scored the points.

• Identifies opportunities and drives cross-functional outcomes to grow and scale Databricks
• Lead discovery and problem validation by assessing current-state, identifying decision points, and grounding opportunities in data, personas, and critical user or business journeys
• Frame and prioritize opportunities by testing assumptions, identifying high-impact levers, and aligning stakeholders on target-state outcomes
• Design E2E scalable target-state operations weaving together process design, operating model definition, automation and/or AI levers to optimize your answer
• Translate strategy into action through pilots and prototypes, rapidly testing hypotheses, failing fast, and iterating based on feedback and measurable results
• Own operationalizing and delivering on the business outcome in conjunction with cross functional business partners, while driving alignment with senior leadership
• Measure quantifiable impact of the outcomes implemented and create well defined KPIs to ensure successful execution of transformations and sustainable improvement

• 10+ years of experience in driving strategic initiatives across many functions, influencing stakeholders VP+
• Experience in business process improvement, business transformations or corporate strategy with time at a top tier consulting firm is a plus.
• Consultative approach, including ability to analyze process flows and identify operational metrics
• Take a tailored approach to meet the customer / business needs by adjusting behavior and outcomes based on the dynamics of the team, stakeholder, and program situation(s)
• Advanced research and analysis skills that you can flex to address a complex problem and/or situation
• Demonstrate an advanced ability to define and break down ambiguous and complex business problems into structured hypotheses, pilots, and scalable solutions
• Communicate complex ideas with authority, influencing stakeholders including Databricks executives and department leadership.
• Experience in the enterprise software industry, SaaS and B2B experience preferred.
• Be self-driven, and show ability to drive decisions on ambiguous asks with incomplete data
• Comfortable and thrive in a rapidly scaling and dynamic startup environment
• Bachelor's Degree required

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates 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.

Zone 1 Pay Range

$218,800—$306,250 USD

Zone 2 Pay Range

$196,900—$275,650 USD

Zone 3 Pay Range

$185,900—$260,300 USD

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…