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Position Summary:

We're looking for a bold, visionary, and hands-on Head of Data & AI to architect and operationalize our data-driven future. This leader will shape our AI-first data strategy , build a world-class data foundation , and accelerate value creation across analytics, automation, and intelligent experiences.

You'll own the full lifecycle of our data ecosystem - from architecture to governance to AI activation - ensuring that data is not just reliable and compliant, but ready to power the next generation of business intelligence, personalization, and autonomous decision-making.

Responsibilities:

• Lead enterprise data architecture and platforms
  • design and scale a modern, cloud-based data stack leveraging Snowflake , Atlan , and complementary technologies (e.g., dbt, Fivetran, Airflow).
• Establish data observability and quality frameworks
  • ensure data lineage, reliability, and real-time insights across all systems.
• Drive AI-first data strategy
  • enable machine learning and generative AI capabilities through structured data tagging, metadata management, and model-ready pipelines.
• Partner with business and technology teams
  • turn data into action by collaborating across digital, marketing, finance, and operations to define use cases, KPIs, and outcomes.
• Governance and compliance
  • define robust policies for privacy, security, and ethical AI use; partner with Legal and Security teams to align with evolving regulations.
• Build and lead a high-performance global data team
  • recruit, mentor, and inspire data engineers, architects, and AI specialists.
• Accelerate insight to impact
  • democratize data access, foster a culture of experimentation, and drive adoption of self-service analytics and AI tools.

Requirements:

• 10+ years leading enterprise data engineering, architecture, or AI initiatives.
• Deep expertise in Snowflake and metadata management platforms such as Atlan , Collibra , or Alation .
• Proven experience implementing data observability , lineage, and monitoring tools (e.g., Monte Carlo, Databand, Soda).
• Strong understanding of data governance, privacy, and MLOps principles.
• Demonstrated success building and scaling AI-ready data platforms
  • enabling ML pipelines, model serving, or generative AI use cases.
• Experience leading cross-functional collaboration between engineering, analytics, and business teams.
• Strategic mindset balanced with a bias for execution and operational excellence.

Attributes That Make You Stand Out:

• You think like a product owner for data - obsessed with usability, adoption, and measurable value.
• You lead with clarity and curiosity , connecting business ambition to technical architecture.
• You embrace experimentation and governance as dual engines of innovation.
• You're passionate about empowering others - turning "data consumers" into "data creators."

This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors' discretion.

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