Contribute to the evolution of delivery best practices within the Professional Services team and mentor junior team members to build future leaders
What we look for
Proven experience leading complex, enterprise-scale data or AI/ML projects in a fast-paced customer-facing environment
Extensive experience successfully managing and overseeing projects with teams of up to 5 people, with contract values in excess of $0.5 million
Ability to engage, influence, and build trust with senior executive stakeholders on the customer side, including CxOs
Strong understanding of cloud platforms (AWS, Azure, GCP) and familiarity with data lakehouse architecture or modern data platforms
Demonstrated ability to manage multiple workstreams across technical and business stakeholders, balancing scope, time, and risk
Experience working with cross-functional teams, including engineering, solution architects, sales, and partners
Skilled in driving structured governance, managing stakeholder expectations, and facilitating executive-level communication
Experience in setting up and managing project delivery frameworks, including Agile, Scrum, or hybrid methodologies, ideally with PMI/PRINCE/AGILE certification
Comfort with ambiguity and ability to bring clarity and structure to unstructured or evolving customer engagement
Ability to identify delivery risks early and implement mitigation plans to ensure customer outcomes and satisfaction
Experience with commercial aspects of delivery, including change control, SoW management, and margin protection
High ownership mindset with a bias for action, accountability, and customer success
Excellent verbal and written communication skills, with the ability to influence at all levels.
Experience identifying opportunities to expand or upsell services in the context of ongoing delivery engagements
A product-oriented mindset or experience working closely with product teams is a plus
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
Our Commitment to Diversity and Inclusion
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.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
