Cayuse Holdings

Director of Data Science & AI

Location US-
ID 105368
Category
Information Technology
Position Type
Full-Time Salary Exempt
Remote
Yes
Clearance Required
None
Pay Range
USD $200,000.00 - USD $200,000.00 /Yr.

Overview

The Work:

The Director of Data Science and AI will spearhead the growth of Cayuse’s Data and AI initiatives across diverse business units and industries, with targeted focus on strategic sectors such as Resources (Oil & Gas, Utilities) and Enterprise and Consumer Technology. This leadership role combines business development, strategic advisory, and solution creation to expand Cayuse’s influence and offerings in Data Science and AI. As the Data and AI subject matter expert, the individual will collaborate with Client Account Leads to identify, qualify, and pursue opportunities while ensuring Cayuse’s capabilities align with evolving client needs and market demands.

 

This position aligns with Cayuse’s core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables.

Responsibilities

Key Responsibilities:

  • Business Development and Proposal Support
    • Serve as the Data and AI expert for business development initiatives, collaborating with client account leads to shape solutions, engage with clients, and determine which opportunities align with Cayuse’s focus.
    • Lead the creation of Data and AI content for RFPs and RFIs across federal, state, local, and commercial markets, presenting differentiated technical solutions tailored to clients' needs.
    • Develop compelling go-to-market materials that highlight Cayuse’s Data and AI capabilities and strategic solutions for targeted industries.
    • Build reusable proposal content, including narratives, technical descriptions, and case studies, to streamline responses and ensure consistency.
    • Proactively identify Data and AI opportunities within existing contracts, pursuits, and client engagements.
  • Advisory Role to Business Units
    • Act as an advisor to Cayuse’s business units and service lines, identifying where Data and AI solutions can create value for existing and prospective clients.
    • Partner with internal leaders to shape tailored Data and AI offerings for specific markets and clients.
    • Identify opportunities where AI, agentic AI, and automation could enhance Cayuse’s internal processes and operations.
  • Account and Industry Development
    • Drive growth in the Data and AI business within key industries, including Oil & Gas, Utilities, and Enterprise and Consumer Technology.
    • Build and maintain strategic relationships with clients and prospects, understand their priorities, and develop tailored solutions leveraging Cayuse’s capabilities.
    • Collaborate with Client Account Leads and Business Development Directors to grow existing accounts and secure new business within the strategic growth industries.
    • Monitor and report on the pipeline, wins, and revenue growth for assigned industries.
  • Strategic Planning and Solutions Development
    • Develop and maintain a comprehensive Data and AI strategy and roadmap for key industries, outlining priority areas, emerging client needs, and required investments.
    • Use industry expertise to identify gaps in current market solutions and longstanding client challenges that Cayuse can address with innovative AI offerings.
    • Collaborate with data scientists and AI/ML engineers to develop new solutions, refining them from initial concept to client-ready offerings.
    • Lead the development of tools and solutions for Cayuse’s AI Readiness offerings, customized to client and industry requirements.
    • Regularly update strategic plans to reflect shifting market trends, advancements in technology, and evolving client priorities.
  • External Representation and Thought Leadership
    • Represent Cayuse as an industry expert at conferences, client briefings, and other public forums, showcasing the organization’s insights on data strategy, AI adoption, responsible AI, and agentic AI.
    • Publish articles, case studies, and thought leadership pieces to enhance Cayuse’s reputation and visibility within the strategic growth industries.
    • Engage in executive-level client interactions, demonstrating credibility both in technical expertise and industry knowledge.
  • Other duties as assigned.

Qualifications

Qualifications – Here’s What You Need:

  • Minimum of 15 years of progressive experience in data science, AI/ML, and technology strategy, including leadership roles with a strong business and advisory focus.
  • Proven track record in leading or contributing to RFP and RFI responses, especially for federal, state, local, and commercial clients, with a specialization in data science and AI.
  •  Established thought leadership in data science and AI through professional experience, publications, speaking engagements, or advisory roles.
  • Strong understanding of federal AI policies, responsible AI frameworks, and regulatory considerations shaping AI adoption in commercial and government sectors.
  • Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment.

Minimum Skills:

  • Exceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner.
  • Exceptional verbal and written communication skills.
  • Excellent organizational, analytical, and problem-solving skills with high-level attention to detail.
  • Proven ability to multitask and prioritize in a fast past environment with changing priorities; adaptable to change and a quick learner.
  • Ability to handle sensitive and confidential information appropriately
  • Proficient in MS Office, Word, Outlook, PowerPoint, and Excel.
  • Demonstrated ability to work across organizational boundaries and levels, translating technical concepts for non-technical audiences and fostering alignment between diverse stakeholders.

What Success Looks Like:

  • Increased volume and quality of secured Data Science and AI projects across Cayuse’s target industries.
  • Clear and actionable AI strategies implemented in each strategic growth industry, driving client engagement and business expansion.
  • Revenue growth within assigned strategic industries, directly supported by developed AI solutions and capabilities.
  • Enhanced market reputation for Cayuse as a mission-driven organization and a leader in Data Science and AI solutions.

Our Commitment to you / overview of benefits:

  • Medical, Dental and Vision Insurance; Wellness Program
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Short-Term and Long-Term Disability options
  • Basic Life and AD&D Insurance (Company Provided)
  • Voluntary Life and AD&D options
  • 401(k) Retirement Savings Plan with matching after one year
  • Paid Time Off

Reports to: Senior Managing Director, Data Science and AI

 

Working Conditions:

  • Professional office environment.
  • Primarily remote, with occasional travel to client sites, industry conferences, and Cayuse offices as required.
  • Must be physically and mentally able to perform duties extended periods of time.
  • Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position.
  • Must be able to establish a productive and professional workspace.
  • Must be able to sit for long periods of time looking at computer screen.
  • May be asked to work a flexible schedule which may include holidays.
  • May be asked to travel for business or professional development purposes.
  • May be asked to work hours outside of normal business hours.

Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job.  Duties, responsibilities, and activities may change at any time with or without notice.

Cayuse is an Equal Opportunity Employer.  All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.

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