Staff Deployment Strategist - Technical Advisory & Solutioning

We need to output HTML fragment with sections: About the role? The posting includes a description: "Job Description" then paragraphs. We need headings for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections where there is real specific content. We need to extract content: The posting includes: - Intro about Alation (company description) maybe "About the role"? Actually "Job Description" then paragraphs describing role. Could treat as "About the role" or "Responsibilities". The bullet list of duties: "What You’ll Do" list. - "What You Bring" list of requirements/experience. - Compensation: Pay Range details. - Travel: ~15–30% for customer onsite visits (maybe schedule? Not exactly schedule but travel). Could be under Schedule? Not exactly schedule. The instruction: include Schedule section only if posting actually states them. Travel is not schedule. So maybe we omit Schedule. - Benefits: Not mentioned. So omit Benefits. - Pay: Yes we have compensation details. - Qualifications: Could be part of "What You Bring". Could treat as Requirements/Qualifications/Skills. We need to decide which headings to use. The instruction: Prefer a few substantive sections over many thin ones. So we could combine similar items. We have: - About the role: maybe a brief paragraph summarizing role (the first paragraph after Job Description). Could be "About the role". - Responsibilities: the "What You’ll Do" list. - Requirements: the "What You Bring" list (experience, technical credibility, platform familiarity, governance background, customer-facing presence, problem solving, travel). Could be Requirements. - Pay: compensation details. We could also have Skills: maybe technical credibility etc. But to avoid many thin sections, we can combine Requirements and Skills into one "Requirements" section. Thus sections: About the role, Responsibilities, Requirements, Pay. We need to use

for each heading. Use

• for any list of duties/requirements/benefits. Use

  for prose. We must not repeat job title as heading. Not include Job ID etc. Remove boilerplate: EEO, E-Verify, etc. Also remove navigation/legal etc. Also remove duplicated lines. We need to preserve all substantive information; do not invent or summarize away detail. Let's extract substantive content: Company description (Alation pioneering...). This is not directly about role but could be part of About the role? Might be considered company overview. The instruction: "Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

  or drop it." The company description is not minor metadata; it's substantive about the company. Could be included in About the role? Might be okay. But we need to preserve ALL substantive information. So we should include the company description as a paragraph under About the role or maybe a separate section? There's no heading for company overview in the list; but we could put it under About the role as prose. Thus About the role section: include company description paragraph(s) and maybe a brief role summary. Let's parse the text: "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." Then "Job DescriptionThis role brings deep expertise in the data space—spanning data governance, data catalog, and AI concepts—along with strong command of the broader data ecosystem. That technical depth is paired with solid industry acumen across our target verticals, including Financial Services, Healthcare, Manufacturing, and Hospitality and Travel. The Staff Deployment Strategist drives high-impact deployments at the intersection of data intelligence, AI, and governance, acting as a credible technologist who is fluent enough in both AI and governance conversations to earn trust with business and technical stakeholders alike." That seems like role summary. Then "What You’ll Do" bullet list: - Partner with account teams throughout the sales cycle as the key technical advisor and product advocate - Understand a customer's AI/data architecture and pinpoint where Alation fits and adds value - Lead discovery sessions that surface business and governance challenges - Own the technical scope of proof-of-value (POV) engagements, pilots, and adoption workshops, driving each to a clear outcome - Deliver compelling product demonstrations—both full-platform walkthroughs and focused deep dives—tailored to enterprise stakeholders - Translate AI and platform architecture concepts into terms enterprise stakeholders can act on - Navigate common data and cloud platforms (e.g., Snowflake, Databricks, AWS, GCP, Azure) confidently enough to speak credibly about how Alation integrates with a customer's existing stack - Build a defensible, data-backed value story that links technical capability to business impact, driving evaluations to close - Bring a working governance perspective to conversations where relevant, connecting technical work to business outcomes - Partner with account teams to surface expansion opportunities that emerge from your work Then "What You Bring": - 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 isn't 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—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, pre- or post-sale - Problem Solving: Able to translate ambiguous technical and business requirements into a clear plan, whether that's an evaluation or a delivery roadmap - Travel: ~15–30% for customer onsite visits Then compensation: "Compensation Pay Range:Base: $122,681.00 - $165,619.0075/25 split: $160,000 - $220,000 OTE Salary InformationThe salary range is specific to the United States. The salary of the final candidate selected for this role will be set based on a variety of factors, including but not limited to internal equity, experience, education, work location, specialty and training. If the final candidate has a different level of experience, the base salary target range may be lower or higher than what is published." We need to preserve that exactly. There's a weird formatting: "Base: $122,681.00 - $165,619.0075/25 split: $160,000 - $220,000 OTE". Probably means base salary range $122,681 - $165,619 and OTE (on-target earnings) $160k - $220k with 75/25 split (base/variable). We'll keep as is. We should not include EEO etc. Now produce HTML:

  About the role

  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.

  This role brings deep expertise in the data space—spanning data governance, data catalog, and AI concepts—along with strong command of the broader data ecosystem. That technical depth is paired with solid industry acumen across our target verticals, including Financial Services, Healthcare, Manufacturing, and Hospitality and Travel. The Staff Deployment Strategist drives high-impact deployments at the intersection of data intelligence, AI, and governance, acting as a credible technologist who is fluent enough in both AI and governance conversations to earn trust with business and technical stakeholders alike.

  Then Responsibilities:

  Responsibilities

  • Partner with account teams throughout the sales cycle as the key technical advisor and product advocate
  • Understand a customer's AI/data architecture and pinpoint where Alation fits and adds value
  • Lead discovery sessions that surface business and governance challenges
  • Own the technical scope of proof-of-value (POV) engagements, pilots, and adoption workshops, driving each to a clear outcome
  • Deliver compelling product demonstrations—both full-platform walkthroughs and focused deep dives—tailored to enterprise stakeholders
  • Translate AI and platform architecture concepts into terms enterprise stakeholders can act on
  • Navigate common data and cloud platforms (e.g., Snowflake, Databricks, AWS, GCP, Azure) confidently enough to speak credibly about how Alation integrates with a customer's existing stack
  • Build a defensible, data-backed value story that links technical capability to business impact, driving evaluations to close
  • Bring a working governance perspective to conversations where relevant, connecting technical work to business outcomes
  • Partner with account teams to surface expansion opportunities that emerge from your work
  Then Requirements:

  Requirements

  • 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 isn't 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—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, pre- or post-sale
  • Problem Solving: Able to translate ambiguous technical and business requirements into a clear plan, whether that's an evaluation or a delivery roadmap
  • Travel: ~15–30% for customer onsite visits
  Then Pay:

  Pay

  Compensation