Sales Director, Data, AI & Analytics

CRISIL Limited

$180K — $220K *
Finance & Insurance
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15+ years of sales leadership experience focusing on Data, AI, and technology solutions.
  • Strong understanding of data concepts like governance, engineering, and machine learning, including NLP and GenAI.
  • Proven sales record, capable of building relationships with C-level executives in the financial sector.
  • Experience specifically in banking and capital markets.
  • Demonstrated ability to drive revenue growth and meet sales quotas.

Responsibilities

  • Develop and execute a sales strategy targeting the financial services industry.
  • Identify target accounts and expand existing relationships through account plans.
  • Sell Data, AI, and Analytics services to financial institutions.
  • Build and maintain relationships with C-level executives and decision-makers.
  • Lead and support a global sales team to achieve targets and develop skills.
  • Stay informed on industry trends and competitor activities to enhance sales tactics.
  • Collaborate with delivery teams to create proposals that meet customer needs.

Benefits

  • Opportunity to lead a global sales team in a dynamic industry.
  • Access to cutting-edge Data, AI, and Analytics technologies and solutions.
  • Professional development through sales training programs and industry insights.
  • Strong focus on relationship-building with high-level executives.
  • Position as a trusted advisor, influencing key business decisions.
Full Job Description
Job Description

Job Role : Sales Director, Data, AI & Analytics

Division : Data & Analytics

Location : New York City, USA

Position Summary

We are seeking an experienced and results-driven sales leader to fill the role of Head of Data, AI and Analytics Sales. The successful candidate will be responsible for driving revenue growth by selling our Data and AI services, including Data Consulting, Data Governance, and Data Engineering, as well as AI and Analytics solutions, to banks and other financial institutions. The ideal candidate will have a strong understanding of the financial services industry, a proven track record of sales success, and the ability to build and maintain strong relationships with C-level executives and other key decision-makers.

The primary responsibility of the role is to lead a team to drive revenue growth in the Data, AI and Analytics space through new customer acquisition, upselling, and cross-selling within existing accounts.

Key Responsibilities:

  1. Sales Strategy and Planning:
  • Develop and execute a sales strategy to drive revenue growth and expand our customer base in the financial services industry.
  • Identify and prioritize target accounts, and develop account plans to penetrate and expand existing relationships.
  1. Sales and Business Development:
  • Sell our Data and AI services, including Data Consulting, Data Governance, and Data Engineering, as well as AI and Analytics solutions, to banks and other financial institutions.
  • Build and maintain strong relationships with C-level executives, IT leaders, and other key decision-makers at target accounts.
  • Identify and pursue new business opportunities, and collaborate with our delivery teams to develop and deliver proposals and pitches.
  1. Customer Relationships:
  • Develop and maintain a deep understanding of our customers' business needs and challenges, and position our services and solutions to address these needs.
  • Build trust and credibility with our customers, and serve as a trusted advisor on Data and AI-related matters.
  1. Sales Team Leadership:
  • Lead and manage a team of sales professionals across the globe, providing guidance, coaching, and support to help them achieve their sales targets.
  • Develop and implement sales training programs to ensure that our sales team has the skills and knowledge needed to effectively sell our services and solutions.
  1. Market Intelligence and Competitive Analysis:
  • Stay up-to-date on industry trends, competitor activity, and market developments, and use this information to inform our sales strategy and tactics.
  • Analyze customer feedback and market research to identify opportunities to improve our services and solutions.
  1. Collaboration with Product / Delivery Teams:
  • Collaborate with our delivery teams, including Data Consulting, Data Governance, Data Engineering, and AI and Analytics, to develop and deliver proposals and pitches, and to ensure that our services and solutions meet customer needs.
  • Work with our delivery teams to identify and pursue new business opportunities, and to develop and implement go-to-market strategies for new services and solutions.


Skills & Qualification

  • 15 years + proven experience in sales leadership, with a focus on Data, Analytics, AI, software, or technology solutions.
  • Understanding of data and AI concepts, including data governance, data engineering, and machine learning including but not limited deep learning, natural language processing (NLP), and computer vision, GenAI, etc..
  • Proven track record of sales success, with a strong understanding of the sales process and the ability to build and maintain strong relationships with C-level executives and other key decision-makers.
  • Proven experience within banking and capital markets domain.
  • Excellent track record of driving revenue growth, meeting sales quotas, and developing strategic sales plans.
  • Experience building and managing high-performing sales teams.
  • Ability to translate complex technical concepts into clear value propositions for both technical and non-technical stakeholders.
  • Executive maturity, organizational agility and strong impact and influence competencies. Ability to manage ambiguity and manage complexities.
  • Self-motivated and directed, requiring minimal supervision.
  • Ability to work effectively across groups (business and functions) in a fast-paced work environment, with a growth mindset and adaptability.
  • Exceptional communication, negotiation, and presentation skills.
  • Strong network of industry contacts and a history of successful business development in the technology and / or AI & analytics space.
  • Master's degree in business, Computer Science, Engineering, or a related field (MBA or equivalent preferred).

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