Sr. Engagement Manager - Professional Services; FINS

Sr. Engagement Manager - Professional Services (FINS)

Databricks is seeking the Sr. Engagement Manager - Professional Services (FINS) role to deepen partnerships with Financial Services (FINS) customers by guiding successful architecture and use of the Databricks platform, delivering value across the engagement life-cycle and beyond. The Sr. Engagement Manager positions, prepares, and follows up on professional services and training engagements, ensuring customers maximize value from our products and services.

This role partners with Sales, Customer Success, Support, and Product Teams on campaigns, programs, and content, reporting to the Director, Professional Services.

• Identify opportunities for new services by understanding and addressing potential new use-cases and explaining the business value in the upsell or extension of services.
• Perform as the Sr. Engagement Manager in the assigned area and for meeting/exceeding Professional Services and Training bookings and revenue targets.
• Consult with clients to understand engagement scope, requirements, time, cost, and benefits. Responsible for estimating, scoping, and developing the statement of work documents.
• Work closely with the sales counterpart and engage early in the sales process to understand customers  needs, their businesses, and how success is defined, ensuring delivery exceeds expectations and solutions are valued.
• Demonstrate a passion for the job and lead by example by putting Databricks and our customers first to achieve the sales and delivery mission.
• Resolve delivery challenges, address resource contentions, scoping issues and manage expectations.

• 7+ years running a Professional Services and Training Services line of business with a focus on Financial Services clients.
• 7+ years in customer-facing roles that require influencing, validating, negotiating, understanding, and execution.
• Data and AI domain experience working with Financial Services customers to realize business value through to production implementations.
• Excellent customer-facing skills, including working with Executives and other team members.
• Experience identifying customer needs and implementing solutions. Experience partnering with Global System Integrators (GSI) on product and service strategies.
• Service delivery and program management skills with the ability to summarize customer success outcomes into well-structured program plans.
• Travel is required up to 25%, with higher rates during peak times.

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on factors unique to each candidate, including job-related skills, depth of experience, relevant certifications and training, and location. The total compensation package may include eligibility for annual performance bonus, equity, and other benefits.

For more information regarding which range your location is in visit our page here.

• Zone 1 Pay Range: $162,800—$227,900 USD
• Zone 2 Pay Range: $146,500—$205,150 USD
• Zone 3 Pay Range: $138,400—$193,750 USD
• Zone 4 Pay Range: $130,200—$182,250 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 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.

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At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on regional benefits, please visit

We are committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and meet equal employment opportunity standards. Databricks considers applicants 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.

If access to export-controlled technology or source code is required for performance of job duties, it is within the Employer’s discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.