Delivery Lead - AI Data

Job Description

SN Required Information Details

1 Role Delivery Leader - AI & Data

2 Required Technical Skill Set AI, Data Engineering & Analytics Program Delivery Management

Desired Competencies (Technical / Behavioral Competency)

Must-Have

• End-to-end AI & Data program delivery management across full lifecycle

(Strategy, Design, Build, Deploy, Scale)

• Strong expertise across Data Engineering, Data Warehousing, Analytics,

ML/AI model deployment, and GenAI solutions

• Data platform governance — data architecture oversight, data quality

frameworks, and MDM/data governance strategy

• AI program management — model lifecycle governance, MLOps pipelines,

responsible AI & ethics compliance

• P&L ownership, revenue accountability, and financial management of AI &

Data engagements

• Resource management, pyramid management, and onboarding execution

for diverse AI/Data talent

• Risk & issue management, escalation handling, and data privacy/regulatory

compliance (GDPR, DPDP)

• Stakeholder, vendor & partner management in complex multi-domain data

delivery environments

Good-to-Have

• Excellent communication and client relationship management skills

• Hands-on experience with platforms such as Databricks, Snowflake, Azure

OpenAI, AWS SageMaker, or Google Vertex AI

• Familiarity with GenAI use case industrialization and enterprise AI adoption

frameworks

• Certifications: Google Professional Data Engineer, AWS Certified ML

Specialty, Azure AI Engineer, or equivalent

• Analytical mindset, problem-solving aptitude, and strong business acumen

Responsibility of / Expectations from the Role

1 A strong AI & Data Delivery Leader should be able to produce/own the following outputs:

o AI & Data Delivery Plan + detailed Program Governance & Data Operating Model

Framework

o BCP + data risk/mitigation plan including data privacy, security, and regulatory

compliance

o Acceptance criteria + data quality assessments/model validation reports/sign-offs

o Data migration & ingestion strategy + platform cutover plan + go-live readiness

checklist

o AI/ML model deployment plan + MLOps framework + handover to production

operations

o Weekly governance pack (RAID, KPIs, delivery status, model performance metrics)

o Stakeholder communication plan and executive AI & Data transformation dashboards

o Financial tracking, forecasting, value realization reporting, and P&L management

Type Details of The Role (For Candidate Briefing)

Reporting To Which Role Delivery Head

Size of the Team, if any Reporting to

this Role

10+

On-site Opportunity On Business Visa

Unique Selling Proposition (USP) of

The Role

Lead marquee AI & Data transformation programs driving

intelligent enterprise outcomes for global MFG Europe clients