職務内容：

Job Title: Data & AI PrincipalStrategic Leadership in Advanced Analytics & Artificial IntelligencePosition OverviewWe 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 contributedRequired 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.