Job Description
SLSQ124R140
Our ideal location is New York, but we are open to other remote locations.
As the Americas Banking Go-to-Market Leader, you will drive the go-to-market strategy for the United States, Canada, and South America. You will play a pivotal role in accelerating growth across retail banks, community banks, regional banks, credit unions, and fintechs. You will be the domain expert and business executive for Banking within Databricks in these regions. In this role, you will set the vision, build executive relationships with the C-suite across customers and partners as well as work with a cross-functional team across Databricks. You have a strong POV on how Data+AI will transform the industry,
an understanding of the unique business challenges in each sub-segment, and possess the ability to have strategic conversations with CxOs. This job will require travel for conferences, and customer and team meetings. You will report to the Global VP of Financial Services, Cyber Security, and Public Sector GTM with a dotted line into the Head of Global Banking GTM.
The impact you will have: - Work closely with the sales and pre-sales teams to create account-level plans as well as build comprehensive and repeatable sales programs.
- Become a trusted advisor to strategic customer Executives on enterprise data consolidation efforts, especially focused on Data+AI modernization.
- Collaborate with the partnership team to develop strategic relationships with Systems Integrators and influence their GTM strategy for Banking.
- Become a trusted advisor to various stakeholders within Databricks from product, sales, pre-sales, marketing, to partner teams to influence broad company strategy for Banking.
- Identify operational gaps in the Banking GTM motion, be data-driven about quantifying business opportunities, and execute improvement plans.
- Act as a credible thought leader in the industry by authoring white paperswhite-papers, speaking at events, and engaging with executives.
- Collaborate with the enablement team to build programs that enhance the field's knowledge of core strategic priorities, regulations, and relevant case studies in the industry.
- Partner with marketing to develop tailored Banking case studiescase-studies, collateral, blogs and demand generation plans.
What we look for: - You are a doer with deep knowledge of key business-level priorities, workflows, use-cases and Data+AI imperatives in the industry.
- Minimum 10+ years experience working as an executive at a Banking organization, consulting firm servicing regional banks and/or at a leading software company in a similar capacity.
- Proven record of driving change at Banking organization both from technical and business perspective with a strong understanding of how firms make decisions and ability to influence that decision making process.
- Strong customer-facing presence (CXO, IT and Leaders) and ability to cultivate executive relationships and open doors for the field.
- Strong knowledge of the technical landscape in Banking and existing relationships with Hyperscalers.
- Hands-on experience with program managing complex technology initiatives which includes: collecting, tracking and prioritizing agency requirements, working with technical resources to ensure timelines are met, collaborating with marketing to develop marketing assets and event planning, working with partner teams to track partner relationship progress ensuring key milestones are met.
- Exceptional leadership and team management skills, with the ability to inspire and lead cross-functional teams.
- Excellent analytical, strategic planning, and verbal/written communication skills, with the ability to convey complex information in a clear and concise manner.
Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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
$281,900-$432,200 USD
Zone 2 Pay Range
$281,900-$432,200 USD
Zone 3 Pay Range
$281,900-$432,200 USD
Zone 4 Pay Range
$281,900-$432,200 USD
About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Cond 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
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. Databricks
Job Tags
Temporary work, Remote job, Worldwide,