Head of value realization & client solutions

Sutra.AI · Delhi division, India

Role: Head - Implementation

Type: Full-time

Location: Delhi NCR / Bhopal (Remote)

Experience: 18-20 Years

Reports to: Head - AI Value Delivery

Manages: Head - Data, Head - Test & Support, Implementation Managers

ABOUT SUTRA. AI

Sutra. AI is a complete ‘Data to Value’ AI business transformation platform designed specifically for Business Builders. Unlike other platforms that cater to AI Builders or large enterprises with substantial budgets, Sutra. AI is purpose-built for mid-market businesses without the need of AI expertise. Developed over 4 years, Sutra. AI is a patent-pending fully orchestrated AI Saa S platform. It identifies and executes AI use cases to enhance operational efficiency, customer experience, revenue growth, profitability, innovation, and risk reduction.

WHY THIS ROLE MATTERS

As Sutra. AI scales, our ability to turn complex customer operations into smooth, predictable AI implementations is what earns and keeps trust. This role builds and runs a scalable AI delivery organisation executing multiple concurrent transformations across ICP, non-ICP, India, and US engagements. The mandate is business-outcome realisation, consistent time to value, implementation rigor, and steady customer satisfaction, with implementation maturity strong enough that managers can independently own their customers.

WHAT YOU'LL DO

1. Delivery Organisation & Program Leadership Build and run a high-performing AI delivery organisation handling transformation across Sutra’s ICP, non-ICP, India, and US. Scale and govern multiple concurrent customer transformations with a strong ownership mentality and outcome accountability. Create rigor in implementation planning, governance, milestone management, and decision-making. Operate effectively during escalations, production issues, and high-pressure customer situations.

2. Time to Value & Delivery Quality Drive consistent, measured Time to Value across projects, managed and reported per established processes. Improve on-time delivery performance and increase first-time quality of deployments. Track delivery health and customer pulse consistently across engagements, reducing implementation escalations.

3. Customer Engagement & Operational Adaptability Quickly map customer business environments, operational workflows, systems landscapes, and organisational dynamics, and adapt across industries and contexts. Develop trusted relationships with both customer leadership and frontline operational stakeholders. Ensure implementations are driven by measurable business and operational outcomes, with clear linkage between deployment, operational KPIs, and value, not purely technical milestones.

4. Technical Depth & Solution Understanding Visualise relationships between operational systems, workflows, and data sources to build comprehensive implementation plans. Translate operational requirements into implementation plans and challenge architectural gaps and feasibility. Coordinate technical and operational execution and manage integration dependencies.

5. Risk, Capacity & Talent Identify operational, technical, and organisational implementation risks early, with a practical problem-solving mentality rather than only reporting issues. Manage implementation staffing, resource prioritisation, hiring, and delivery scalability, with visibility into allocations and utilisation. Build strong Implementation Managers and operational delivery teams through up-skilling and structured development. Drive platform adoption and ICP alignment, collaborating closely with Solutioning, Platform, Sales, and Customer Success.

REQUIREMENTS

Must-Have Environment: Direct experience working within startups or fast-growth environments. Delivery Leadership: Led complex implementations, digital transformation programs, or operational technology deployments involving cross-functional teams. Stakeholder Management: Led implementations involving operations, IT, engineering, and executive stakeholders. Executive Engagement: Customer-facing executive engagement experience. Delivery Operations: Proven delivery operations and scaling experience, plus strong customer and stakeholder management. Domain Exposure: Professional exposure to Saa S or AI technology landscapes.

Preferred Experience leading AI Transformation Delivery programs. Exposure to mid-market customers. Enterprise experience is a plus, not a requirement.

CORE COMPETENCIES

Technical & Functional Competencies Multi-Project Delivery Leadership: Scaling and governing multiple concurrent transformations with outcome accountability and sound decision-making under pressure. Operational Adaptability: Quickly understanding customer environments, workflows, and systems, and adapting across industries and operational contexts. Technical & Solution Understanding: Translating operational requirements into plans, challenging architectural gaps, and tracking integration dependencies. Risk & Dependency Management: Identifying risks and dependencies early and resolving them, not just escalating. Delivery Governance: Setting implementation standards, escalation management, milestone governance, and delivery discipline. Executive Presence: Building trusted advisor relationships internally and with customer leadership. Resource & Capacity Leadership: Managing implementation staffing, prioritisation, hiring, and delivery scalability. Talent Development: Building strong Implementation Managers and operational delivery teams.