ET - Solution Architect
India
Job Description
ET - Solution Architect
Greater Noida, Uttar Pradesh

Job Summary

This role is accountable for driving strategic program management and delivery excellence business. Drive the portfolio of Programs in Data Engg, Data Science & AI within the given cost and margin and provide customer satisfaction that complies with the quality and delivery parameters. The position ensures alignment of program objectives with organizational goals, oversees complex service delivery initiatives, and provides visionary leadership to enable transformation and operational efficiency at scale. Key ResponsibilitiesLead program management for Data Engg programs and ensuring seamless execution of large-scale initiativesDefine and implement Data and AI strategy, Cloud platforms, and automation tools to optimize operational performance and customer satisfaction.Oversee risk management and compliance activities by applying enterprise governance standards and monitoring regulatory adherence throughout program lifecycles.Provide visionary leadership and mentorship to Data program teams, cultivating a culture of accountability, excellence, and transformation.Program and Delivery Management in Data Programs and ensure that the agreed deliverables in terms of time| cost and quality are metSupport business development activities for new Data business and source further business from the existing client To anchor process improvement/compliance and other organizational initiativesEffectively drive multiple teams in delivering EE/EN/NN accounts as per SOW commitments and oversee all facets of delivery ensuring high operational & delivery excellence standards are met across all accounts.Strategize and execute operations towards organizational objectives and support achievement of desired goals and objectives Oversee overall P&L and execute strategies to improve account margins & enhance growth of new business. Skills: Portfolio Management, Program Management in Data PlatformsTechnical Skills: Data Engg, Data Science, AI Key Responsibilities Job SummaryThis role is accountable for driving strategic program management and delivery excellence business. Drive the portfolio of Programs in Data Engg, Data Science & AI within the given cost and margin and provide customer satisfaction that complies with the quality and delivery parameters. The position ensures alignment of program objectives with organizational goals, oversees complex service delivery initiatives, and provides visionary leadership to enable transformation and operational efficiency at scale. Key ResponsibilitiesLead program management for Data Engg programs and ensuring seamless execution of large-scale initiativesDefine and implement Data and AI strategy, Cloud platforms, and automation tools to optimize operational performance and customer satisfaction.Oversee risk management and compliance activities by applying enterprise governance standards and monitoring regulatory adherence throughout program lifecycles.Provide visionary leadership and mentorship to Data program teams, cultivating a culture of accountability, excellence, and transformation.Program and Delivery Management in Data Programs and ensure that the agreed deliverables in terms of time| cost and quality are metSupport business development activities for new Data business and source further business from the existing client To anchor process improvement/compliance and other organizational initiativesEffectively drive multiple teams in delivering EE/EN/NN accounts as per SOW commitments and oversee all facets of delivery ensuring high operational & delivery excellence standards are met across all accounts.Strategize and execute operations towards organizational obj

Key Responsibilities

1. To assess the domain landscape and gap analysis- contribute towards domain strategy
2. To create solution and architectural views (logical| conceptual| development| execution| infrastructure & operations architecture).
3. To study and define system requirements addressing stakeholder| portfolio concerns
4. To manage Non Functional Requirement adaption for the solution
5. To contribute towards white/technical papers and knowledge base
6. To contribute solution ideas to the value of 2- 5 mn or PoC development specific to domain.
7. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements

Skill Requirements

This role is accountable for driving strategic program management and delivery excellence business. Drive the portfolio of Programs in Data Engg, Data Science & AI within the given cost and margin and provide customer satisfaction that complies with the quality and delivery parameters. The position ensures alignment of program objectives with organizational goals, oversees complex service delivery initiatives, and provides visionary leadership to enable transformation and operational efficiency at scale. Key ResponsibilitiesLead program management for Data Engg programs and ensuring seamless execution of large-scale initiativesDefine and implement Data and AI strategy, Cloud platforms, and automation tools to optimize operational performance and customer satisfaction.Oversee risk management and compliance activities by applying enterprise governance standards and monitoring regulatory adherence throughout program lifecycles.Provide visionary leadership and mentorship to Data program teams, cultivating a culture of accountability, excellence, and transformation.Program and Delivery Management in Data Programs and ensure that the agreed deliverables in terms of time| cost and quality are metSupport business development activities for new Data business and source further business from the existing client To anchor process improvement/compliance and other organizational initiativesEffectively drive multiple teams in delivering EE/EN/NN accounts as per SOW commitments and oversee all facets of delivery ensuring high operational & delivery excellence standards are met across all accounts.Strategize and execute operations towards organizational objectives and support achievement of desired goals and objectives Oversee overall P&L and execute strategies to improve account margins & enhance growth of new business. Skills: Portfolio Management, Program Management in Data PlatformsTechnical Skills: Data Engg, Data Science, AI Key Responsibilities Job SummaryThis role is accountable for driving strategic program management and delivery excellence business. Drive the portfolio of Programs in Data Engg, Data Science & AI within the given cost and margin and provide customer satisfaction that complies with the quality and delivery parameters. The position ensures alignment of program objectives with organizational goals, oversees complex service delivery initiatives, and provides visionary leadership to enable transformation and operational efficiency at scale. Key ResponsibilitiesLead program management for Data Engg programs and ensuring seamless execution of large-scale initiativesDefine and implement Data and AI strategy, Cloud platforms, and automation tools to optimize operational performance and customer satisfaction.Oversee risk management and compliance activities by applying enterprise governance standards and monitoring regulatory adherence throughout program lifecycles.Provide visionary leadership and mentorship to Data program teams, cultivating a culture of accountability, excellence, and transformation.Program and Delivery Management in Data Programs and ensure that the agreed deliverables in terms of time| cost and quality are metSupport business development activities for new Data business and source further business from the existing client To anchor process improvement/compliance and other organizational initiativesEffectively drive multiple teams in delivering EE/EN/NN accounts as per SOW commitments and oversee all facets of delivery ensuring high operational & delivery excellence standards are met across all accounts.Strategize and execute operations towards organizational obj

Other Requirements

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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 226,300 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2025 totaled $14.5 billion.

23 Benefits At HCLTech, we believe in empowering our employees with comprehensive benefits that support their professional growth and enhance their well-being. When you sign up for a career with us, you gain access to: https://rmkcdn.successfactors.com/147eb21f/a701dca9-f32d-4fc9-9447-6.svg Industry-benchmarked compensation https://rmkcdn.successfactors.com/147eb21f/b0c54381-ddcc-4a33-9b35-9.svg Best-in-class healthcare benefits https://rmkcdn.successfactors.com/147eb21f/b73027be-7aae-4d36-a090-4.svg Personal time off https://rmkcdn.successfactors.com/147eb21f/d5b4fdfd-2e99-4e26-9878-9.svg Maternity and paternity benefits https://rmkcdn.successfactors.com/147eb21f/3d42b0fc-4652-435a-9ece-c.svg Access to skills / higher education programs/resources https://rmkcdn.successfactors.com/147eb21f/aeddeaf2-9e25-4584-ad11-d.svg Discounts on products and services via Benefit Box https://rmkcdn.successfactors.com/147eb21f/a9609a3b-2700-4b3c-9d90-a.svg Participate in CSR programs and live life with a purpose https://rmkcdn.successfactors.com/147eb21f/c6e33851-710f-4634-bd69-f.svg Opportunities to grow and advance your career Note: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.