Head of Service Delivery (Data & AI Practice)

Job Title: Data & AI Practice Head (Delivery)

Experience:

Job Type:

Reporting To:

Role Summary:

Data & Analytics Practice

Required Skills & Experience:

• +20 years in IT services/consulting with at least 10 years in D&A leadership/practice roles.
• Practice capabilities and competency building
• Channel partnership development
• Strong expertise in

  data modernization

  on AWS, Azure, or GCP.
• Proven track record of implementing

  enterprise data governance, lineage, quality frameworks

  .
• Industry knowledge in BFS and Hi-Tech; experience in Retail/CPG.
• Experience leading distributed teams including architects, engineers, and data SMEs.
• Commercial acumen with full P&L ownership experience.
• Excellent client-facing skills, executive presence, and ability to influence stakeholders globally.

Key Responsibilities:

Strategic Practice Leadership

• Define and execute the vision, strategy, and growth roadmap for the Data & Analytics practice.
• Build offerings centred around

  data modernization

  and

  data intelligence & analytics (governance, quality, lineage )

  .
• Lead creation of accelerators, frameworks, and reusable assets to enhance delivery efficiency and differentiation.

Business Growth & Commercial Ownership

• Own the P&L for the Data & Analytics practice, ensuring top-line and margin growth.
• Partner with GTM, sales, and alliance teams to drive pipeline, lead generation, and deal conversion.
• Build strategic partnerships with hyperscalers and data governance tool vendors (Collibra, Informatica, Alation, etc.).

Capability Development & Team Building

• Scale capabilities across

  data engineering, data architecture, BI & visualization, metadata management, MDM, data lineage and governance

  .
• Hire, mentor, and retain senior leadership and SMEs across technical and domain areas.
• Promote a culture of innovation, agility, and continuous upskilling aligned with evolving client needs.

Client Solutioning & Engagement

• Collaborate with GTM data leaders for creating proactive opportunities
• Lead solutioning for large data deals with a focus on

  cloud data platform migration, governance, lineage, and compliance

  .
• Engage in executive briefings, proposal defense, and thought leadership forums as the face of the practice.

Delivery Governance

• Provide governance and quality oversight for critical D&A programs.
• Ensure delivery excellence through KPIs, proactive risk management, and value delivery.
• Drive consistency in tools, methodologies, and reporting across engagements.

Preferred Qualifications:

• Certifications in cloud data platforms (e.g., Azure Data Engineer, AWS Data Analytics).
• Knowledge, experience on GenAI and AI is an advantage.