Talent and Delivery Fullfillment, Senior Director

Talent and Delivery Fullfillment, Senior Director NTT Ltd - 3.5 Plano, TX Job Details 3 hours ago Qualifications Revenue growth Master's degree in business administration Stakeholder engagement Managerial strategic planning Strategic management Data migration Engineering Talent management Gap analysis 11+ years Improving operational efficiency Microservices Team development Talent pipeline development Analysis skills Bachelor's degree in engineering HR strategic planning Machine learning Decision making Data analytics Cloud Native Design IT Training & development Data visualization Benchmarking Senior level AI Cross-functional collaboration Go-to-market strategy

Master of Business Administration Full Job Description Req ID:

367198 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Head of Talent Enablement CoE for Apps and Data to join our team in the US. Role Overview The Head of Talent Enablement Center of Excellence (CoE) - Applications Data will define and drive the strategy, execution, and growth of NTT DATA's staffing and talent solutions business across both application services and data analytics domains. This role is responsible for building a future-ready talent ecosystem that supports application development, modernization, and data-driven transformation initiatives, including data engineering, AI/ML, and advanced analytics. The leader will ensure scalable, high-quality talent supply aligned with evolving client demands across application services and data analytics domains. Key Responsibilities 1. Strategy Growth Define and execute a unified Talent CoE strategy across Applications and Data Analytics Drive revenue growth of staffing and talent solutions in both domains across key markets Identify emerging skills and workforce trends (e.g., cloud-native apps, data engineering, AI/ML, GenAI, analytics platforms) Develop differentiated go-to-market strategies for integrated application and data talent offerings 2. Talent Supply Chain Capability Building Work with Talent Acquisition, partners and with internal talent to build robust talent pipelines across: Application development, maintenance and modernization (full-stack, microservices, ERP, low-code/no-code, niche technologies) Data analytics (data engineering, data migration and modernization, data platforms, data visualization) Lead enterprise-wide upskilling and reskilling programs across applications and data domains Establish capability academies for niche and high-demand skills Leverage global talent pools, gig workforce, and partner ecosystems 3. Operational Excellence Standardize and scale talent fulfillment processes across both service lines working with cross-functional teams Improve speed, quality, and cost efficiency of staffing delivery Implement data-driven workforce planning and predictive talent supply models Establish governance frameworks ensuring compliance and quality across regions 4. Stakeholder Management Partner with sales, delivery, and practice leaders across Applications and Data Analytics Collaborate with clients to co-create workforce strategies supporting digital and data transformation Engage with hyperscalers, data platform providers, and training partners 5. Innovation Digital Enablement Drive adoption of AI-led sourcing, talent intelligence platforms, and internal talent marketplaces Build innovative staffing models (e.g., pod-based delivery, managed teams, outcome-based staffing) Embed analytics into talent decision-making (supply-demand forecasting, skill gap analysis) Continuously benchmark and evolve CoE capabilities 6. Leadership Team Development Build and lead a globally distributed CoE team covering applications and data talent Foster a culture of continuous learning, innovation, and agility Develop leadership pipelines and domain-specific expertise within the CoE Key Skills Competencies Strong expertise in both: IT Applications (custom development, enterprise platforms, cloud-native architectures) Data Analytics (data engineering, data platforms, AI ecosystems) Proven experience in IT staffing, workforce strategy, or talent transformation Strategic mindset with strong execution capabilities Data-driven decision-making and analytics orientation Deep understanding of digital, cloud, and data ecosystems Strong stakeholder management across global, matrixed organizations Qualifications Bachelor's degree in Engineering / Technology or related field MBA or equivalent preferred 15+ years of experience in IT services, staffing, or talent strategy Demonstrated experience in building talent capabilities in Applications and/or Data Analytics domains Experience in global delivery and multi-geo talent management Success Metrics Revenue growth across Applications and Data Analytics staffing Talent fulfillment speed, quality, and cost efficiency Coverage of critical skills (applications + data/AI domains) Talent readiness and certification benchmarks Utilization and deployment rates Client satisfaction and retention Innovation adoption (AI-led sourcing, talent analytics maturity) About

NTT DATA NTT DATA

is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.

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is a part of NTT Group, which invests over $3 billion each year in RD. Whenever possible, we hire locally to

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offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an

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