Data/AI Client Engagement Lead - Insurance or Healthcare

Minimum of 10+ years in healthcare, with at least 5 years in a leadership or client-facing role.

Extensive experience in data and digital transformation. Industry focus in either Healthcare or Insurance.  

Strong technical foundation with exposure to data management, cloud platforms, and AI-driven solutions.

Familiarity with modern technology ecosystems such as hyperscalers (AWS, Azure, GCP), Databricks, Palantir, Snowflake, and emerging AI/ML tools.

Proven track record in managing multimillion-dollar accounts, driving revenue growth, and leading cross-functional teams.

Strong expertise in technical design discussions and the ability to provide strategic consulting to enable large-scale engagements is essential for this role.

Skills:

• Ability to manage and lead technical delivery teams, ensuring successful execution of client engagements.
• Skilled in proposal development, technical workflow design, and driving large-scale implementations.
• Excellent communication and presentation skills, capable of translating complex concepts for diverse audiences.
• Proven ability to handle multiple engagements simultaneously, balancing priorities in a matrixed environment.
• Strong understanding of Enterprise Data Management (EDM) solutions and related tools, enabling informed client discussions.
• Adept at adapting methodologies to client needs to deliver value and maintain profitability.
• Experience in mentoring teams and conducting internal training programs.
• Ability to resolve conflicts effectively and maintain strong client relationships.

The typical base pay range for this role across the U.S. is USD $200,000 - $255,000 per year.

For more information on benefits and what we offer please visit us at https://ww80w.exlservice.com/us-careers-and-benefits

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale.

Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position.

The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Client Engagement & Relationship Management

Build and maintain strong relationships with key clients. Act as the primary contact for strategic discussions, understanding client needs and identifying opportunities for value creation through consultative engagement.

Solution & Proposal Development

Lead development of tailored technical proposals in collaboration with cross-functional teams. Design innovative solutions in areas like data modernization, digital transformation, and integration, ensuring proposals are practical, competitive, and aligned with best practices.

Account & Revenue Growth

Monitor account performance and drive growth through upsell and cross-sell opportunities. Achieve revenue targets by expanding service offerings and leveraging emerging technologies such as AI, cloud, and data platforms.

Leadership & Delivery Oversight

Coordinate across advisory, technology, and operations teams to ensure seamless delivery. Promote collaboration, resolve interdependencies, and foster knowledge sharing for efficiency and innovation.

Market Awareness & Thought Leadership

Stay current on industry trends, regulatory changes, and competitive dynamics. Contribute to thought leadership through client presentations, webinars, and whitepapers.

Team Development

Mentor and guide junior team members, fostering a high-performance culture and building capabilities in client management and solution design.