At a Glance
- Tasks: Drive impactful data deployments and lead customer engagements in AI and governance.
- Company: Join Alation, a leader in AI-powered data intelligence with a collaborative culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with travel opportunities and a focus on innovation.
- Why this job: Shape the future of data intelligence and make a real impact in various industries.
- Qualifications: 6-8 years in technical roles with strong knowledge of AI and data governance.
Alation is pioneering the next era of data intelligence — powered by AI agents and trusted data. Organizations around the world rely on Alation to drive self‑service analytics, cloud transformation, data governance, and AI innovation. Our technology helps enterprises connect people and data to make faster, smarter, and more confident decisions. With more than $340M in funding – valued at over $1.7 billion and more than 650 customers, including 40% of the Fortune 100. As data becomes the foundation of every business, Alation is leading the way in helping organizations unlock their full potential. By bringing intelligence, automation, and trust to every interaction, we empower customers to scale data‑driven innovation with confidence and speed. Joining Alation means being part of a winning team shaping the future of AI‑powered data intelligence. We move fast, think big, and deliver results together.
We seek a Sr. Staff Deployment Strategist with deep expertise in the data space — data governance, data catalog, and/or AI concepts — with strong knowledge of the broader data ecosystem, paired with solid industry acumen across target verticals (Financial Services, Healthcare, Manufacturing, Hospitality and Travel). Drives high‑impact deployments at the intersection of data intelligence, AI, and governance by acting as a credible technologist — fluent enough in AI and governance conversations to earn trust with both business and technical stakeholders.
Core Impact Areas- Partner with account teams throughout the sales cycle, acting as the key technical advisor and product advocate.
- Understand a customer's AI/data architecture and identify where Alation fits and adds value.
- Lead discovery sessions to surface business and governance challenges.
- Lead proof‑of‑value (POV) engagements, pilots, and adoption workshops, owning technical scope and driving them to outcomes.
- Deliver compelling product demonstrations, both full‑platform walkthroughs and deep dives into specific product areas, tailored to enterprise stakeholders.
- Translate AI and platform architecture concepts into terms enterprise stakeholders can act on.
- Comfortable navigating common data and cloud platforms (e.g., Snowflake, Databricks, AWS, GCP, Azure) well enough to speak credibly to how Alation integrates with a customer's existing stack.
- Build a defensible, data‑backed value story linking technical capability to business impact, driving evaluations to close.
- Bring a working governance perspective to conversations where relevant, especially connecting technical work to business outcomes.
- Partner with account teams to identify expansion opportunities emerging from your work.
- Experience: 6–8 years in technical delivery, solutions consulting, or forward‑deployed customer‑facing roles at data/AI platform companies.
- Technical Credibility: Strong understanding of AI technologies, architecture, and the broader ecosystem (LLMs, agent patterns, data platforms). Hands‑on development experience is not required, but you need to be seen as a credible technologist by technical stakeholders.
- Platform Familiarity: Working knowledge of common enterprise data and cloud platforms — e.g., Snowflake, Databricks, AWS, GCP, Azure — sufficient to discuss integration points and architecture credibly with customer technical teams.
- Governance Background (preferred): Prior exposure to data or AI governance concepts, with the ability to translate them into customer value conversations.
- Customer‑Facing Presence: Proven experience engaging enterprise stakeholders and communicating value to both practitioners and business leaders, whether pre‑ or post‑sale.
- Problem Solving: Able to translate ambiguous technical and business requirements into a clear plan — whether that plan is an evaluation or a delivery roadmap.
- Travel: ~15–30% for customer onsite visits.
Sr. Staff Deployment Strategist - London employer: SwiftCruit
At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.
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We think you need these skills to ace Sr. Staff Deployment Strategist - London
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