BFSI Enterprise Director

Posted:
8/3/2024, 6:44:17 PM

Location(s):
Maharashtra, India ⋅ Mumbai, Maharashtra, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Sales & Account Management

Pay:
$124/hr or $257,920 total comp

SLSQ325R67

As part of our rapidly expanding Enterprise business, we are looking for a BFSI Leader to scale the business in the India region. You will lead a team of professionals and be responsible for multiplying consumption, new customer acquisition and developing the ecosystem. You will inherit a team of seasoned campaigners, passionate about building a data ecosystem in the India region, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Head of Enterprise business, India Region.

The impact you will have:

  • Scale a team of motivated Enterprise Account Executives to increase growth in BFSI domain
  • Inspire a culture of teamwork, leading with value, and achieving desired customers outcomes
  • Develop trust-based relationships with customers and partners to ensure long-term success
  • Encourage learning and ongoing understanding of technical product details and our future product roadmap
  • Lead our BFSI Enterprise growth plans, ensure forecast accuracy and a predictable, high-growth business

What we look for:

  • You have the desire to build a collaborative, inspired team culture
  • You live our core values: customer obsession, teamwork makes the dream work, own it, and let the data decide!
  • Experience (15 or more years) building a high-growth sales team serving BFSI customers
  • Experience in the Big Data, Cloud, or SaaS Sales Industry
  • History of exceeding sales quota in similar high-growth Enterprise software companies
  • Understanding of value selling and structured methodologies e.g. MEDDPICC, Challenger, Command of Message
  • Knowledge of developing the partner ecosystem to help grow strategic enterprise territories
  • Success implementing strategies for usage and booking-based sales revenue models
  • Enterprise BFSI experience coupled with Cloud Data & AI, is most desirable.

Benefits 

  • Private medical insurance
  • Accident coverage
  • Employee's Provident Fund
  • Equity awards
  • Paid parental leave
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Business travel insurance
  • Mental wellness resources

About Databricks

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 TwitterLinkedIn and Facebook.

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

Website: https://databricks.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 5001-10000

Year Founded: 2013

IPO Status: Private

Last Funding Type: Series I

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning