Strategic Enterprise Account Executive - Financial Services

WinsAbove; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

WinsAbove is seeking an Enterprise Account Executive to guide strategic growth within Financial services by leveraging big data and AI technologies. In this role, you will develop unique solutions, lead a motivated team, and build executive-level relationships.

Your experience in enterprise software sales, knowledge of the Data & AI space, and proven business development track record are essential. Join us to help shape the future of data-driven strategies in a diverse and inclusive culture.

Qualifications

• Experience in direct sales to large financial service enterprises.
• Proven track record of developing new business.
• Knowledge of Data & AI technology sales.

Responsibilities

• Develop unique use cases and solutions for the Financial services segment.
• Co-develop business plans with team and partners.
• Lead a team to identify impactful big data and AI use cases.

Skills

Direct sales of enterprise software platforms

Ownership of executive level relationships

Quota over-achievement

Co-developing business cases

Job description

SLSQ327R435

Want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks.

As an Enterprise Account Executive, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers within the Financial services sector. Reporting to the Sales Director, you will be focused on the growth of one major

The impact you will have:

• You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Financial services segment.
• You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new opportunity and enables you to exceed quarterly/annual usage and booking goals
• You will motivate a diverse team of big data and AI professionals to implement your business plan
• You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform
• You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement
• You will build exceptional value with all engagements to guide successful negotiations to close

What we look for:

• Experience in direct sales of enterprise software platforms to large financial service enterprises
• Ownership of executive level relationships in your clients
• Proven track record of developing new business
• Extensive experience of working with large complex regulated organisations
• Knowledge of the Data & AI space with technology sales experience
• Longevity with previous employers
• Quota over-achievement selling complex software and services to large enterprise accounts
• Experience driving successful adoption of usage-based subscription services and co-selling with AWS, Azure and Google Cloud teams
• Methods for co-developing business cases and gaining support from C-level Executives
• Familiarity with sales methodologies and process (e.g Territory and Account planning, MEDDPICC, Challenger Sales and Command of the Message)

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.