Senior Staff Deployment Strategist, Technical Advisory & Solutioning

Overview

In this role you drive enterprise-scale transformations at strategic accounts, aligning data governance, catalog, and AI concepts with executive priorities. You partner with C-suite stakeholders to define roadmaps, architecture, and governance frameworks, delivering measurable outcomes over multi-quarter initiatives. You influence product direction with field insights and scale delivery through repeatable playbooks and standards. This is a high-impact, leadership-facing role at a fast-moving data and AI platform company.

Pay / Benefits

• hybrid work model
• competitive compensation
• OTE (UK)
• travel to customer sites
• opportunity to influence product direction
• focus on data governance and AI initiatives

Responsibilities

• Own multi-quarter transformation outcomes across strategic accounts
• Lead executive discovery and define enterprise transformation roadmaps with KPIs
• Engage with C-suite stakeholders and conduct executive conversations
• Make architecture decisions for large-scale rollouts and governance posture
• Manage end-to-end lifecycle outcomes: strategy, deployment, adoption, value, expansion
• Architect enterprise-scale patterns and governance frameworks
• Lead Executive Business Reviews and value realization narratives
• Drive expansion opportunities via clear value narratives and roadmaps
• Serve as escalation authority for high-risk technical and stakeholder issues
• Influence product direction through high-quality field insights
• Lead team- or department-level initiatives to scale delivery standards

Key requirements

• 10+ years in technical delivery, solutions consulting, or forward-deployed roles in data/AI platforms
• Deep understanding of AI technologies, architecture, and ecosystem (LLMs, agent patterns, data platforms)
• Strong knowledge of enterprise data and cloud platforms (Snowflake, Databricks, AWS, GCP, Azure)
• Experience with data or AI governance concepts and defining governance frameworks
• Executive presence with experience leading at the C-suite level
• Ability to frame ambiguity into transformation plans and phased roadmaps
• Proven leadership in shaping team or organizational standards and playbooks
• Travel approximately 25–40% for customer onsite visits

• Executive presence
• Strategic thinking
• Problem solving
• AI technologies and architecture
• LLMs and agent patterns
• Data platforms in the cloud

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