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Global Practice Head- Data & AI

Syncarp

Location

Remote

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

We are hiring a "Global Practice head for Data and AI for a global IT service provider, based out of US/UK .

  • 15\+ years in Data \& AI / Technology, with at least 5 years in a senior practice leadership or P\&L ownership role.
  • Proven track record of building and scaling Data \& AI practices in a consulting, systems integration, or managed services environment.
  • Experience managing a global team across multiple geographies with direct reports in at least two regions.
  • Demonstrated success in winning large-scale transformation programmes ($10M–$100M\+) and advising clients through complex data and AI transformation journeys.
  • Strong commercial instincts: business development, deal shaping, pricing, margin management, and pipeline discipline.

Hands-On Technical Foundation (Essential):

  • Prior hands-on career as a Data Architect, Enterprise Architect, or Solutions Architect is strongly preferred — practitioner credibility is a key differentiator for this role.
  • Deep expertise in modern data platform architectures: Lakehouse, Data Mesh, Data Warehouse modernisation (Teradata/Oracle/Netezza to Snowflake/Databricks/BigQuery).
  • Solid understanding of cloud data platforms: Microsoft Azure (Fabric, Synapse, ADLS), AWS (Redshift, Glue, Lake Formation), GCP (BigQuery, Dataproc, Dataplex).
  • Strong working knowledge of AI/ML engineering, MLOps, LLMOps, Generative AI, and Agentic AI frameworks.
  • Familiarity with data governance tooling: Unity Catalog, Alation, Collibra, Purview, Snowflake governance, or equivalent.
  • Ability to review, challenge, and guide architectural decisions on complex programmes without being a bottleneck.

Key Responsibilities

1\. Global P\&L Ownership \& Business Growth

2\. Offering Creation \& Portfolio Management

3\. Go-To-Market (GTM) Strategy \& Execution

4\. Thought Leadership \& Market Positioning

5\. Strategic Partnerships \& Alliances

6\. Customer Advisory \& Consulting

7\. Practice Development \& Team Leadership

8\. AI \& Data Innovation

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