Key Responsibilities :

Practice &

- Business Leadership :
- Define and execute the strategic vision and growth roadmap for the Data &
- AI practice.
- Build and scale high-performing data, analytics, AI, and engineering teams.
- Drive multi-year enterprise transformation programs and strategic client engagements.
- Identify new business opportunities and contribute to proposals, solutioning, and client acquisition.
- Develop reusable frameworks, accelerators, and industry-specific Data &
- AI offerings.

Client &

- Executive Management:
- Act as a senior strategic advisor to C-suite executives and enterprise stakeholders.
- Lead executive-level discussions around Data &
- AI transformation, technology strategy, and business value.
- Own strategic client relationships and serve as the ultimate escalation point for critical engagements.
- Translate business challenges into scalable technology and transformation roadmaps.
- Drive customer satisfaction, retention, and expansion across strategic accounts.

Data &

- AI Architecture:
- Provide architectural leadership across contemporary enterprise data ecosystems.
- Drive solutions leveraging Snowflake, Databricks, Azure Data Factory (ADF), and modern cloud data platforms.
- Establish scalable data architectures, data pipelines, integration frameworks, and analytics platforms.
- Oversee data governance, quality, lineage, observability, and security initiatives.
- Provide strategic direction on platforms and tools such as Collibra, Alation, and Monte Carlo.
- Drive enterprise AI/ML readiness, including MLOps, vector databases, Generative AI, and LLM-based solutions.
- Ensure AI solutions are scalable, secure, governed, and aligned with enterprise architecture.

Delivery &

- Operational Excellence :




- Oversee global delivery across multiple programs, geographies, and client environments.
- Establish delivery governance, engineering standards, KPIs, and quality frameworks.
- Ensure programs meet business objectives, timelines, budgets, and quality expectations.
- Drive continuous improvement, automation, and operational excellence across the practice.
- Mentor senior architects, engineering leaders, and delivery heads.

Required Skills &

Experience :

- 20-25 years of progressive experience in IT services, consulting, technology, or global delivery leadership.
- Proven experience leading a Data &
- AI practice or large-scale Data/Analytics organization.
- Strong expertise in enterprise data architecture and modern cloud data platforms.
- Hands-on architectural exposure to Snowflake, Databricks, and Azure Data Factory.
- Strong understanding of data governance, data quality, lineage, and observability.
- Experience with platforms such as Collibra, Alation, or Monte Carlo is preferred.
- Strong understanding of AI/ML, MLOps, Generative AI, LLMs, and vector databases.
- Proven experience managing large, complex, multi-year transformation programs.
- Strong commercial, consulting, and solutioning capabilities.
- Excellent executive communication, stakeholder management, negotiation, and presentation skills.

Preferred Candidate Profile :

- Experience working with global enterprise clients and distributed delivery teams.
- Strong C-suite engagement and executive advisory experience.
- Proven track record of building and scaling technology practices.
- Ability to balance business strategy, technology architecture, delivery excellence, and revenue growth.
- Strong understanding of emerging Data &
- AI trends and enterprise adoption challenges.

📌 EMBARK - Practice Head - Data & AI Platform (India)
🏢 Embark Business Solutions
📍 India