Job Summary

We are seeking an accomplished Data & AI Principal to provide strategic leadership across complex customer engagements and enterprise Data & AI initiatives. In this role, you will be the primary client interface, overseeing significant Data & AI projects, and cultivating long-term partnerships focused on transformative, data-driven business outcomes.

Key Responsibilities

• Lead Strategic Data & AI Engagements: Serve as the principal client liaison, managing end-to-end delivery of large-scale projects exceeding /$10M in budget.
• Client Advisory: Engage directly with clients to develop Data & AI strategy and roadmaps aligned with business objectives.
• Solution Leadership: Take ownership of crafting solutions and implementation strategies that align with customer’s business objectives and Data Analytics & AI roadmaps, ensuring solutions are both relevant and impactful to their transformation journey.
• Sales Pipeline Growth: Build and maintain a robust pipeline for Data & AI services, proactively identifying and creating opportunities that contribute to both client success and the expansion of strategic accounts.
• Practice Building Initiatives: Spearhead initiatives such as generating impactful customer references, public referenceable success stories helps elevate positioning of HCLTech with customers and partners. Play a pivotal role in practice-building activities with an expectation of partial billability.
• Cross-Functional Collaboration to drive results: Work closely with internal teams and strategic partners to deliver innovative and integrated Data & AI solutions, reinforcing the organization’s market leadership.
• Reporting & Insights: Deliver clear progress reports, performance insights, and strategic recommendations for both clients and executive leadership, highlighting impact against core KPIs.

Principal KPIs for the Role

- Revenue influenced ($)

- Strategic deal win rate (%)

- Account growth rate (%) across Data & AI portfolios

- Margin uplift in strategic deals (%)

- Number of practice-building initiatives contributed

Skill Requirements

Required Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field.
• Experience: Minimum 12 years of professional experience in Data & AI, with proven success in client engagement and account leadership.

Technical & Functional Expertise

• AI Platform Architecture: Deep knowledge of AI platform architectures and data architectures for enterprise applications.
• Advisory in Emerging Technologies: Demonstrated expertise in advising on emerging Data & AI technologies and best practices.
• Cloud & ML Platforms: Proficiency with platforms such as Azure, Google Vertex, AWS, and experience with various AI & ML use cases.
• Data Governance: Strong skills in data quality, profiling, cataloging, and metadata management.
• Lead Generation & RFP Response: Successful track record in lead generation, managing RFPs, and crafting compelling solution responses.
• Commercial Management: Experience preparing SoWs, MSAs, SLOs, and managing P&L for strategic accounts.

Core Competencies

• Leadership: Effective leadership skills, with a focus on building and motivating high-performing teams.
• Communication: Exceptional communication and presentation abilities for diverse audiences.
• Analytical Thinking: Strong analytical and problem-solving skills with a focus on measurable outcomes.
• Stakeholder Management: Proven ability to engage and influence global stakeholders.
• Adaptability: Comfortable working in fast-paced, dynamic environments.

Other Requirements

•    Travel: Willingness to travel to client sites as required.
•    Location: Determined by client and business needs.