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HCLTech
Portfolio Delivery Head
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Job Description
Portfolio Delivery Head HCLTech
Identify industry-specific value streams ripe for disruption and apply AI platforms to re-engineer them. 2. Service Transformation Lead service transformation across the delivery organisation, converting AI adoption into committed productivity, margin improvement and effort take-out.
Industrialise what works on one account and scale it across the portfolio through reusable assets and accelerators. 3. Commercial, Governance and Market Presence Partner with sales and account leadership on pursuits, renewals and expansions where AI is the differentiator; shape outcome-based and productivity-linked commercial constructs.
Establish AI governance with clients covering data handling, model risk, IP boundaries and responsible use.
Represent the unit in client executive forums, analyst briefings and industry events. Must-Have Skills 1. Consulting Pedigree and Client Engagement 15+ years in technology services or consulting, with AI transformation leadership at a Big 4 firm.
AI agenda carried with named CIO or CIO-1 sponsors, from funding to delivery.
Deep understanding of industry-specific value stream, ability to adopt AI platforms for disrupting business value streams. 2. AI Platform and Technology Depth Hands-on with one AI platform (OpenAI, Claude, Copilot) and one hyperscaler (AWS, Google, Azure, Meta).Working depth in agentic architectures, LLM platform selection, RAG, evaluation and guardrails. 3. Transformation Leadership at Scale AI transformation run on both sides: internal productivity with committed savings, and client programmes.
Change driven across the delivery organisation through influence, not reporting lines. Good-to-Have Skills Manufacturing or industrial sector background, including familiarity with PLM, MES, supply chain or product engineering.
SAP background, including S/4HANA transformation or SAP-centric business process experience.
Experience with outcome-based, gainshare or productivity-committed commercial models.
Exposure to AI governance and responsible AI frameworks in enterprise or regulated settings.
Analyst or industry-forum visibility. Educational Qualifications Bachelor's degree in Engineering, Computer Science or a related technical discipline. Required.
MBA or Master's in a technical discipline. Preferred.
Certifications in AI/ML, cloud AI platforms or SAP. Advantageous.
- 3.
Identify industry-specific value streams ripe for disruption and apply AI platforms to re-engineer them. 2. Service Transformation Lead service transformation across the delivery organisation, converting AI adoption into committed productivity, margin improvement and effort take-out.
Industrialise what works on one account and scale it across the portfolio through reusable assets and accelerators. 3. Commercial, Governance and Market Presence Partner with sales and account leadership on pursuits, renewals and expansions where AI is the differentiator; shape outcome-based and productivity-linked commercial constructs.
Establish AI governance with clients covering data handling, model risk, IP boundaries and responsible use.
Represent the unit in client executive forums, analyst briefings and industry events. Must-Have Skills 1. Consulting Pedigree and Client Engagement 15+ years in technology services or consulting, with AI transformation leadership at a Big 4 firm.
AI agenda carried with named CIO or CIO-1 sponsors, from funding to delivery.
Deep understanding of industry-specific value stream, ability to adopt AI platforms for disrupting business value streams. 2. AI Platform and Technology Depth Hands-on with one AI platform (OpenAI, Claude, Copilot) and one hyperscaler (AWS, Google, Azure, Meta).Working depth in agentic architectures, LLM platform selection, RAG, evaluation and guardrails. 3. Transformation Leadership at Scale AI transformation run on both sides: internal productivity with committed savings, and client programmes.
Change driven across the delivery organisation through influence, not reporting lines. Good-to-Have Skills Manufacturing or industrial sector background, including familiarity with PLM, MES, supply chain or product engineering.
SAP background, including S/4HANA transformation or SAP-centric business process experience.
Experience with outcome-based, gainshare or productivity-committed commercial models.
Exposure to AI governance and responsible AI frameworks in enterprise or regulated settings.
Analyst or industry-forum visibility. Educational Qualifications Bachelor's degree in Engineering, Computer Science or a related technical discipline. Required.
MBA or Master's in a technical discipline. Preferred.
Certifications in AI/ML, cloud AI platforms or SAP. Advantageous.
Others Travel:
Extensive and client-proximate. Candidates must have no restrictions on travel.Work model:
Based in the United States, working from client sites and HCLTech locations as the portfolio requires.Diversity:
We are committed to building a leadership team that reflects gender diversity and applications from candidates who strengthen this are especially welcome. Key Responsibilities AI transformation leader from BIG 4- Accenture, DeloitteConsulting mindset, who can engage with CIOs and CIO-1 in driving a AI agendaPrefer Manufacturing industry backgroundExperience in one of the Open AI / Claude / CopilotExperience in atleast one of the Hyperscalers
- AWS, Google, Azure, MetaExperience in leading service transformationsDeep understanding Industry-specific value stream, ability to adopt AI platforms for disrupting business value streamsSAP background is preferredPrefer a woman leader Skill Requirements Other Requirements AI transformation leader from BIG 4
- Accenture, DeloitteConsulting mindset, who can engage with CIOs and CIO-1 in driving a AI agendaPrefer Manufacturing industry backgroundExperience in one of the Open AI / Claude / CopilotExperience in atleast one of the Hyperscalers
- AWS, Google, Azure, MetaExperience in leading service transformationsDeep understanding Industry-specific value stream, ability to adopt AI platforms for disrupting business value streamsSAP background is preferredPrefer a woman leader Maximum Salary (US): 263000 Minimum Salary (US): 164000