Delivery Head

Job Description:

Job Details:

 Job title: Offshore Delivery Head / Associate Director / Director

 Location: Gurugram/Pune/Chennai/Bengaluru/Hyderabad

 Experience: 12 to 18 Years

Role Summary:

We are looking for a Delivery Partner/Offshore Delivery Head/Associate Director/Director

kind of a person to own and scale a portfolio of data, analytics, and AI engagements for

global clients.

This role combines program delivery, client leadership, and commercial management.

You will be accountable for:

• Superior delivery and client experience

• Healthy account metrics (quality, timelines, utilisation, margins)

• Supporting demand generation and expansion in partnership with sales and

solution leads

The ideal candidate has deep delivery leadership experience with data/analytics/AI

programs and is comfortable engaging senior stakeholders while running

multidisciplinary teams.

Required Technical Skill set:

Key Responsibilities

1. Portfolio & Delivery Ownership

• Take end-to-end responsibility for a portfolio of data, BI, AI/ML, and GenAI

programs, ensuring on-time, on-budget, high-quality delivery.

• Set up and run delivery governance – steering meetings, status reviews, risk and

issue logs, and escalations to ensure no surprises program health.

• Ensure consistent adoption of delivery processes (agile/hybrid), documentation

standards, and QA practices across all engagements.

• Proactively identify and manage delivery risks, dependencies, and scope changes;

drive clear mitigation and communication.

2. Client Experience & Stakeholder Management

• Serve as the primary delivery point of contact for senior client stakeholders (CXOs,

business heads, product/tech leaders).

• Translate client objectives into clear roadmaps, milestones, SLAs, and outcomes;

track and report against them regularly.

• Own client experience metrics (e.g., NPS / CSAT for your portfolio), driving

corrective actions where needed.

• Navigate complex, matrixed client environments and manage stakeholder

expectations across business, technology, and vendor teams.

3. Commercial Management & Account Health

• Own delivery-side financials – staffing, effort and cost tracking, utilization, margin

health, change requests, and renewals.

• Work with account owners to build and maintain account plans – linking delivery

roadmap, risks, and opportunities to revenue and margin goals.

• Ensure billing hygiene, forecasting accuracy, and efficient resource allocation

across programs and locations (onsite/offshore/hybrid).

4. Demand Generation & Growth Support

• Partner with sales and solution leaders on new opportunities, proposals, and SoWs

– shaping delivery models, phasing, and effort estimates.

• Leverage delivery insight to identify expansion opportunities: new use cases, new

stakeholders, and scaling of successful pilots.

• Contribute to thought leadership, case studies, and reference stories emerging

from delivered programs.

5. People Leadership & Capability Building

• Lead and mentor multi-disciplinary teams (project/program managers, BAs, data

engineers, data scientists, AI/ML/GenAI engineers, BI developers, QA, etc.).

• Build a strong second line of delivery leadership, including grooming Delivery

Managers / Program Leads for higher responsibility.

• Work with practice and HR teams on hiring, workforce planning, and systematic

upskilling aligned to portfolio needs (cloud data, MLOps, GenAI, etc.).

• Foster a culture of ownership, collaboration, and continuous improvement across

teams.

6. Quality, Process & Continuous Improvement

• Institutionalize delivery standards, playbooks, and checklists for your portfolio

(estimation, design reviews, testing, documentation, security, and data privacy).

• Drive regular retrospectives and bring portfolio-level improvements (tools,

automation, templates, reusable components).

• Ensure compliance with internal and client policies, including security, IP

protection, and responsible use of AI where applicable.

Job Details:

 Job title: Offshore Delivery Head / Associate Director / Director

 Location: Gurugram/Pune/Chennai/Bengaluru/Hyderabad

 Experience: 12 to 18 Years

Experience & Background (Must-Have)

• 12–18 years of experience in consulting / analytics / data & AI, with at least 5+

years in delivery leadership across multiple concurrent programs.

• Able to define end-to-end data & AI solutions and articulate a clear value

narrative, turning client problem statements into structured roadmaps,

architectures, and execution plans.

• Comfortable presenting POVs and solution approaches to CXO-level stakeholders,

leading strategic conversations, handling objections, and aligning diverse

stakeholders around a common direction.

• Proven track record of owning delivery and account health for global clients —

including scope, quality, timelines, utilization, and margins.

• Strong familiarity with data platforms and analytics/AI solution delivery – data

engineering, BI, AI/ML, and emerging GenAI patterns (conceptual and architectural

level).

• Experience defining and running delivery processes (waterfall and agile), setting up

offshore teams, and implementing governance and quality frameworks.

• Demonstrated success working with senior stakeholders in complex, matrixed

environments, handling escalations and aligning diverse teams around shared

goals.

Skills & Competencies

• Strong program and portfolio management abilities – planning, dependency

management, risk control, and executive-level communication.

• Comfort with cloud-based architectures, DevOps/MLOps concepts, and modern

data/AI engineering practices (hands-on not required, but you can challenge and

guide teams).

• Ability to connect business value to delivery – quantify impact, measure adoption,

and frame delivery status in business terms.

• Structured thinking and problem-solving skills; ability to bring order and clarity to

ambiguous asks.

Education (Preferred)

• Bachelor's degree in Engineering / Computer Science or related field;

• MBA or equivalent business/management qualification is preferred but not

mandatory.

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