
Delivery Head
1 week ago
Position: Delivery Head
Location: BLR/Noida
Experience: 15+ years in IT/Consulting with strong Data & Analytics delivery leadership
Role Overview:
The Delivery Head Data will be responsible for leading end-to-end delivery of data, analytics, and AI/ML projects across global clients. This role requires a strategic leader who can ensure successful execution of complex data programs, drive innovation, manage delivery excellence, and strengthen client relationships while building and scaling high-performing data teams.
Key Responsibilities:
Delivery Leadership:
- Own delivery accountability for all data and analytics programs across multiple clients.
- Ensure on-time, on-budget, and high-quality delivery with measurable business outcomes.
- Drive adherence to best practices in data engineering, data governance, cloud migration, and analytics delivery.
- Client & Stakeholder Management
- Act as the primary delivery partner for client leadership teams.
- Proactively manage expectations, resolve escalations, and ensure client satisfaction.
- Support account growth by identifying new opportunities in data, AI, and digital transformation.
People & Team Management:
- Build, mentor, and lead global delivery teams across data engineering, data science, BI, and cloud platforms.
- Drive a culture of continuous learning, innovation, and performance excellence.
- Ensure optimal resource allocation and utilization across projects.
Strategic Delivery Excellence:
- Establish delivery frameworks, governance models, and KPIs for large-scale data engagements.
- Champion agile and DevOps methodologies in data program execution.
- Partner with solutioning, pre-sales, and CoE teams to design scalable delivery models.
Technology & Innovation:
- Stay ahead of industry trends in Data, AI/ML, GenAI, and Cloud ecosystems (AWS, Azure, GCP).
- Foster innovation by driving adoption of automation, accelerators, and reusable frameworks.
- Collaborate with product/solution teams to enhance data delivery capabilities.
Key Skills & Competencies:
- Proven experience in managing large-scale data platform, cloud data engineering, and advanced analytics programs.
- Strong leadership in managing global delivery centers/teams.
- Expertise in cloud platforms (AWS, Azure, GCP), big data technologies (Hadoop, Spark, Databricks), ETL, data governance, MDM, BI/Visualization (Power BI, Tableau), AI/ML.
- Strong financial acumen with experience managing multi-million-dollar P&L.
- Excellent client engagement, executive communication, and stakeholder management skills.
- Ability to balance strategic vision with hands-on operational delivery.
Qualifications:
- Bachelors/master's degree in computer science, Information Technology, Data Science, or related field.
- 15–20 years of IT experience with at least 7–8 years in Data/Analytics leadership.
- Prior experience in consulting, IT services, or global delivery leadership role is highly desirable.
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