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To hire and retain talent for an India global capability center (GCC), first define what the center will own—not just how many people it will employ. Turn that mandate into specific skills, seniority levels, and decision rights; recruit for capabilities that are hard to develop quickly; and build learning and career paths around meaningful work. India’s GCC market is shifting toward product, platform, and business-outcome ownership, so a generic promise of “global exposure” is not a substitute for explaining what a role will actually do.
Start with the GCC mandate, not the hiring target
A headcount plan says how many people to hire. A capability plan says what the center must be able to do, who will make decisions, and which expertise it needs to build or buy. That distinction matters as India GCCs move beyond transaction and delivery work toward product, platform, innovation, and enterprise responsibilities.
Nasscom and Zinnov’s FY2026 landscape describes GCCs taking greater ownership of products, platforms, and business outcomes. ACCA’s 2025 report describes a similar evolution in finance: roles are moving beyond transaction-focused accounting toward business partnering, process improvement, procurement, reporting, planning, and analysis. These shifts do not mean every center or role has the same mandate. They mean job design should reflect the specific work and authority promised to employees.
Translate the mandate into roles
- Name the work. Specify whether the center will focus on delivery, product or platform ownership, research and development, finance transformation, customer operations, or another function.
- Set decision rights. Clarify what the India team can decide, what it owns end to end, and where it must collaborate with teams elsewhere.
- Identify capability gaps. Separate skills required on day one from those that can reasonably be developed after hiring.
- Describe the working relationships. Where roles serve global teams, identify the stakeholders, communication demands, and cross-cultural collaboration involved.
- Write requisitions from the role design. Explain the actual problems the hire will solve, the expected scope, and how success will be judged—not just the center’s global profile.
ACCA identifies cross-cultural competency and collaboration between global and local teams as success factors. Make those expectations concrete where they are relevant to the role, rather than treating them as vague personality requirements.
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Which skills should an India GCC hire for?
Current reporting points to rising demand for AI-related capabilities, alongside data, cloud, cybersecurity, and product development. Those are areas to assess against the center’s mandate, not a checklist that every GCC employee must satisfy.
Nasscom and Zinnov’s July 2026 release says hiring is expected to continue at a moderate pace, with redeployment and AI-led productivity prioritized over linear headcount growth; it also reports rising demand for AI-centric skills. ANSR’s September 2026 release, based on its reported analysis of more than 5,000 live openings and more than 20,000 hiring patterns, says approximately 65% of new GCC roles created in 2026 required AI skills, AI and data talent demand rose approximately 45% year over year, and forward-deployed engineering and AI-engineering postings increased roughly 1,000% over the preceding 12 months. These are ANSR-reported figures, not a standardized count of openings available to every employer or city.
ANSR’s September 2026 release also reports GCC hiring growth of approximately 12–15% year over year in the first half of 2026. Treat this as vendor-reported market context, not a forecast for an individual center. The same release’s foreword describes a shift from hiring for scale to hiring for capability; that is a useful way to frame workforce planning, but the needed capabilities still depend on each center’s work.
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Separate must-have expertise from developable skills
For each role, identify the expertise that is essential at entry—such as specialist engineering judgment, regulatory knowledge, or the ability to lead a product decision—and the skills that a capable hire could learn through structured development. This is a planning distinction, not a universal rule about which skills are easy to teach. Validate it with the managers responsible for the work and the time available to reach proficiency.
For AI, data, cloud, and cybersecurity roles in particular, define the work in practical terms. A job that builds a platform, secures a system, or applies models in a business process calls for a different blend of technical depth and stakeholder responsibility than a role that uses existing tools within a delivery team.
Balance experienced hiring with talent pipelines
Experienced lateral recruitment can fill immediate capability gaps. University relationships, joint research, and workforce-skilling partnerships can support longer-term pipelines. These are complementary approaches: a pipeline takes time to develop and does not guarantee job-ready candidates, while lateral hiring alone may not meet every future need.
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Nasscom and Zinnov’s FY2026 landscape reports that more than 90% of leading GCCs engage with universities for talent pipelines and joint research. The qualifier matters: this is a reported practice among leading GCCs, not a claim that more than 90% of all centers do so or that the practice guarantees hiring outcomes. ACCA’s 2025 report recommends collaboration among GCCs, academia, and policymakers to sustain the ecosystem.
Choose the mix by capability and time horizon
| Approach | Best suited to | What to plan for |
|---|---|---|
| Experienced lateral hiring | Immediate needs for specialist knowledge, leadership, or a capability the center must use now. | Define the role’s real authority and scope; do not assume a senior hire will remain engaged if the work is narrower than promised. |
| University engagement and joint research | Longer-term pipelines, research collaboration, and roles where the center can invest in developing early-career talent. | Build a sustained relationship and specify the skills or research areas involved. Reported engagement is not proof of a ready supply of candidates. |
| Workforce-skilling partnerships | Developing capabilities that fit the center’s planned work and can be learned over a defined period. | Connect training to real projects and assess proficiency against the role, rather than treating course completion as capability. |
| Internal redeployment and reskilling | Shifting work or adopting new tools when existing employees have relevant foundations. | Identify transferable skills, provide time and support for learning, and be clear about how responsibilities will change. |
The table is a practical planning framework inferred from the reported direction of the market, not a published comparison of hiring outcomes. Nasscom and Zinnov’s emphasis on redeployment and AI-led productivity makes it especially useful to assess current employees before assuming that every new capability requires net-new headcount.
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India’s GCC talent base is spread across established clusters and expanding locations; the available sources do not establish a universal best city, or a comparable ranking of city-level hiring cost, retention, skill availability, or time-to-fill. Compare locations against the role mix and the actual candidate pool you can reach.
Government and industry materials identify Bengaluru, Hyderabad, Pune, Chennai, Mumbai, and NCR as established clusters. ACCA’s 2025 report notes expansion into tier-II cities. ANSR’s September 2026 release names Coimbatore, Ahmedabad, and Kochi as emerging specialized hiring hubs. Those descriptions help identify places to investigate; they do not establish that a particular city is best for a given function.
Use a role-specific location assessment
- Map the specialist skills and seniority levels each role requires, then assess candidate access in the locations under consideration.
- Check whether relevant industry, research, or university relationships support the capability plan.
- Consider operational needs such as collaboration with other teams and the center’s working model.
- Compare options using employer-specific evidence, including recruiting experience and employee outcomes, rather than relying on an unsupported city ranking.
Make retention part of capability planning
Retention is not a separate perk strategy layered on after hiring. If a center wants employees to build capabilities and take on wider ownership, the work and development path should make that opportunity visible. Nasscom and Zinnov describe reskilling and redeployment as workforce priorities. ACCA emphasizes strong leadership and cross-cultural competencies at both individual and organizational levels.
These sources support treating meaningful work, learning, leadership, and broader responsibility as planning priorities; they do not show that any one intervention reduces India GCC attrition by a specific amount. The reviewed materials do not provide comparable causal estimates that rank retention tactics. Use local employee evidence to decide what to change.
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- Show how responsibility can expand. Explain possible routes from delivery into specialist, product, process-improvement, or leadership work where those paths exist in the organization.
- Connect learning to live work. Build development plans around capabilities employees will use on real projects, and give managers a way to assess progress.
- Support cross-team collaboration. Clarify how employees can work with global counterparts and gain broader responsibility without promising authority the center does not have.
- Review the employee experience with local evidence. Assess onboarding, manager quality, compensation, flexibility, and internal mobility for the employer’s own workforce; the available sources do not rank these interventions.
Track outcomes internally at a level useful for decisions—for example, whether employees move into planned roles or whether critical skills are being developed and used. These are suggested management measures, not published benchmarks or proof that a particular program causes retention.
Use market figures as context, not a hiring guarantee
Nasscom and Zinnov’s FY2026 landscape reports 2,117 GCCs and 2.36 million professionals in India, using data as of March 2026. It also reports more than 250,000 AI professionals in the country’s GCC talent base. These figures describe ecosystem scale; they do not indicate how many suitable candidates are available for a particular role, skill level, or city.
For a different period and reporting basis, a 2025 Press Information Bureau backgrounder says India’s GCCs employed over 19 lakh people in the FY2024 context. The same government backgrounder describes GCC market revenue rising from $40.4 billion in FY2019 to $64.6 billion in FY2024, with 9.8% annual growth, and projects USD 105 billion in revenue by 2030, nearly 2,400 centers, and over 2.8 million professionals. The 2030 figures are projections, not observed outcomes; the FY2024 and FY2026 workforce figures should not be combined as though they were one snapshot.
The practical implication is to plan for the center’s own capability requirements and evidence, rather than assuming that a large national market ensures fast hiring or easy retention.
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