Mapping the Buyer-Side of "Agent-Deployer for Data Teams": ICP, Sourcing Method, and the Honest Limit on Names
The question
Verbatim: "Map the buyer-side of 'agent-deployer for data teams' by name: ~10 director/VP-Data folks who could realistically be given budget to retain RDCO. LinkedIn + Sanity Check audience + phData pipeline sources."
This is the named follow-up the OpenExO brief explicitly queued: "Map the buyer-side of 'agent-deployer for data teams' by name. Who specifically at director/VP Data level is being given budget to hire one? 10-name list from LinkedIn + Sanity Check audience + phData pipeline." ([[~/rdco-vault/06-reference/research/2026-05-28-openexo-rewrite-vs-rdco-agent-deployer.md]])
Scope honesty up front (load-bearing). The two richest name sources named in the question — the Sanity Check subscriber list and phData's internal pipeline — are founder-side data I (the sub-agent) cannot access. They are not on disk, not in the vault, and not on the public web. A list of ten plausible-sounding names invented to satisfy the "by name" framing would be the single worst possible output of this brief: it would look like leads and be fiction. So this brief deliberately delivers three things instead: (a) a sharp buyer ICP so the founder knows exactly who qualifies; (b) a repeatable sourcing method the founder runs against his OWN lists (where the real names actually live); and (c) only genuinely public, verifiable role-archetype anchors, clearly labeled. The names are founder-side; the targeting system is the deliverable.
What we already know (from the vault)
- The buyer is one layer below the enterprise transformation sale. OpenExO/Varick sell to the CEO/board ("the edge org must report directly to the CEO and have board backing"). RDCO sells to "a budget-holding director one layer down" — a data-team lead / VP Data / Head of Analytics. These are not the same buying motion and don't collide on the same RFP. ([[~/rdco-vault/06-reference/research/2026-05-28-openexo-rewrite-vs-rdco-agent-deployer.md]])
- The buyer's budget is concrete. "A data-team lead with $200K-$300K/year of discretionary tooling budget cannot get OpenExO to call them back... That same lead can hire RDCO at $20K/month for 90 days." The RDCO wedge is a $15K-$25K/month retainer, 90-day minimum, delivered system + state ownership. ([[~/rdco-vault/06-reference/research/2026-05-28-openexo-rewrite-vs-rdco-agent-deployer.md]])
- The four-archetype price map locates the buyer's spend tier. Vendor-built ($40K-$350K/yr), Big-4 ($300K-$2M+), specialist consultancy ($150K-$500K, phData lands here), solo fractional ($50K-$200K/yr retainer = RDCO wedge). The RDCO buyer is the one who funds the solo-fractional line without needing exec sign-off. ([[~/rdco-vault/06-reference/research/2026-05-21-enterprise-ai-agent-deployment-paths.md]] via the May 28 brief)
- The engagement must stay build-shaped, not seat-shaped — which constrains who the buyer is. Solo reads as a feature for a "time-boxed, deep, single-discipline build with a handoff"; it reads as a liability if RDCO sells an open-ended "be our head of data" seat. So the ICP is specifically a leader with a bounded, fundable project (a pipeline-reliability fire, a data-quality eval, an AP-automation agent), not one shopping for a permanent leadership hire. ([[~/rdco-vault/06-reference/research/2026-05-30-solo-vs-studio-fde-buyer-perception.md]])
- The buyer may not use the term "FDE" yet. "FDE wars" is operator/VC-side discourse, not buyers searching for FDE services; data-team buyers "may not use the term yet." This is a create-the-category posture, which means the buyer is sourced by role + trigger, not by searching for people who self-identify as FDE-buyers. ([[
/rdco-vault/06-reference/research/2026-05-30-fde-capture-vs-create-demand.md]], [[/rdco-vault/06-reference/2026-05-29-slotnick-cardinal-sin-platform-building-fde-wars.md]]) - Buyer-side legitimacy proof exists and is session-verified in the vault. The vault records Aaron Levie's (CEO, Box) "agent deployer and manager on every team" job description, with the verbatim post and primary source URL (https://x.com/levie/status/2043883641366032638,
341K impressions, Apr 14 2026). Levie defines the role almost exactly as RDCO operates it. ([[/rdco-vault/06-reference/2026-04-14-levie-agent-deployer-role-jd.md]] — file read in full this session; it is fully populated, NOT a stub.) Important caveat: Levie is a CEO-altitude advocate that the role should exist — he is not himself a director/VP-Data buyer who would retain RDCO.
What the web says
- The mid-market fractional-leadership ICP is now firmographically defined. Companies of 100-1,000 employees / $10M-$1B revenue that need AI/data leadership but cannot justify a $300K-$500K+ full-time hire are the canonical fractional buyer. They retain at roughly $10K-$30K/month — the same band as RDCO's wedge — via retainer, project, or day-rate. (Hatchworks — Fractional CAIO)
- The buy is trigger-driven, and the triggers are recognizable. Board/investor pressure to "have an AI strategy," competitive threat from AI-native players, a failed or stalled internal AI initiative, and the need to separate hype from actionable opportunity. The expected cadence is assessment in 30 days, roadmap by 90, ROI over 6-12 months — and the source stresses that "AI initiatives almost always have significant data components, often larger than the AI work itself." That data-component reality is RDCO's wedge into a buyer who thinks they're buying "AI." (Hatchworks)
- There is a clean, repeatable LinkedIn / Sales Navigator method to enumerate the role. Combine: (1) Job Title / Seniority — Boolean
("VP" OR "Vice President" OR "Director" OR "Head of") AND ("Data" OR "Analytics" OR "Data Engineering"), seniority = Director/VP/CXO; (2) Company Headcount = 51-200 and 201-500 (the discretionary-budget mid-market); (3) Function = Engineering / IT; (4) the highest-signal behavioral filter, "Changed Jobs in the Last 90 Days" — new leaders are in "prove myself" mode, have budget authority, and aren't locked into existing vendor relationships. ExcludeNOT ("Assistant" OR "Coordinator" OR "Intern" OR "staffing" OR "recruiting"). (Evaboot — Find Decision-Makers on LinkedIn, Sales Navigator filter guides 2026) - Where these buyers congregate is identifiable and reachable. Practitioner-and-leader venues: Data Council (San Francisco, May 12-14 2026; engineering-focused, community-driven, draws data engineers, platform architects, startup CTOs and data leaders) (Data Council 2026); dbt Coalesce (the analytics-engineering audience that overlaps RDCO's Sanity Check readership); and the practitioner Slack communities (Locally Optimistic, the dbt community Slack) where data leaders discuss tooling and hiring. These are sourcing surfaces, not name lists — the founder mines them; the sub-agent cannot.
Convergences and contradictions
- Strong convergence on the ICP band (vault ↔ web). The vault's "$200K-$300K discretionary, $20K/month, director/VP-Data" buyer and the web's "100-1,000 employees, $10M-$1B revenue, $10K-$30K/month fractional retainer" buyer are the same person described from two directions. The price band, company size, and seniority all line up. Confidence: HIGH on the ICP.
- Convergence on the trigger, with an RDCO-specific sharpening. Web says the buy is triggered by a stalled AI initiative + board pressure. Vault says the RDCO engagement must be a bounded build, not a leadership seat. These combine into the precise targetable moment: a data leader with a specific, stuck, fundable data/AI project — not a leader shopping for a hire. The trigger is a project fire, not an org-chart gap.
- Real contradiction the founder must hold (title drift). The web's fastest-growing fractional category is the Chief AI Officer / Head of AI — a more senior, AI-branded, often CEO-adjacent buyer. The vault deliberately positions RDCO below that, at the director/VP-Data level, to avoid the OpenExO collision and to keep the engagement build-shaped. The pull of the market is toward the more glamorous "fractional AI exec" buyer; RDCO's defensible slot is the less-glamorous data-team-lead with a pipeline problem. If the founder lets the ICP drift up to "fractional Head of AI," he re-enters the crowded, CEO-sponsored, seat-shaped sale the vault told him to avoid. Hold the line at director/VP-Data.
- The unavoidable gap (and why it's not a failure). Neither vault nor web yields named individuals who fit, because the named layer lives in two private datasets (Sanity Check subscribers, phData pipeline) plus the founder's LinkedIn graph. Absence of public names here is expected and correct — buyer names for a $20K/month relationship-led sale are sourced from warm lists and 1st-degree network, not scraped from the open web. The deliverable is the targeting system, not a scraped list.
Synthesis for RDCO
The precise buyer ICP (use this as the qualification checklist):
- Title: Director of Data / VP Data / Head of Analytics / Head of Data Engineering / Head of Data Platform. NOT "Chief AI Officer" (too senior, CEO-sponsored, seat-shaped — re-enters the OpenExO collision).
- Company: 100-500 employees is the sweet spot (51-200 + 201-500 in Sales Navigator headcount buckets); $10M-$1B revenue; mid-market, not enterprise, not seed-stage.
- Budget signature: Controls ~$200K-$300K/yr of discretionary data/tooling spend — enough to fund a $15K-$25K/month, 90-day retainer without board sign-off, not enough to absorb a $400K full-time senior hire.
- Trigger (the timing filter that matters most): A specific, stuck, fundable project — a stalled internal AI/data initiative, a pipeline-reliability fire, a data-quality/eval gap, an automation backlog — AND board/leadership pressure to show progress fast. The buyer thinks they're buying "AI" but the work is mostly data; that gap is RDCO's wedge.
- Disqualifiers: shopping for a permanent leadership hire (seat-shaped, not build-shaped); regulated-enterprise procurement wanting SLAs/indemnity/continuity (the band where solo-as-liability dominates); pre-product-market-fit startups with no discretionary budget.
The sourcing method the founder runs against his OWN lists (this is where the real names are):
- Sanity Check subscriber list (highest-warmth source). Export subscribers; filter by job title for the title cluster above; cross-filter by company size (enrich via Clearbit/Apollo or manual LinkedIn lookup) to the 100-500 band. A subscriber who already reads RDCO's data content AND holds a budget-bearing data title is the warmest possible lead. Rank by engagement (opens/clicks) as a proxy for receptiveness. Realistically the top 3-5 RDCO names come from here.
- phData pipeline / phData-adjacent network (highest-fit source). The founder's day-job exposure puts him in front of exactly this buyer at exactly the moment of a stuck data project. Note the no-conflict guardrail: phData plays the $150K-$500K specialist-consultancy tier; RDCO plays the sub-$30K/month band below phData's floor. The clean, non-conflicting plays are (a) accounts phData declined/de-scoped as too small, and (b) past contacts at companies now in the 100-500 band who have a build-shaped need phData wouldn't take. Treat this as a relationship-mapping exercise, not a poach.
- LinkedIn Sales Navigator (cold but enumerable). Save a search with the Boolean title string + Director/VP/CXO seniority + 51-500 headcount + Engineering/IT function + (the high-signal kicker) "Changed Jobs in last 90 days." New data leaders in "prove myself" mode are the highest-converting cold segment. Then narrow to 1st/2nd-degree connections first — warm intros beat cold outreach for a $20K/month sale.
- Community mining (medium-warmth, builds the create-the-category flywheel). Data Council attendees, dbt Coalesce speaker/attendee lists, Locally Optimistic and dbt-community Slack participants who post about stalled data/AI projects or tooling gaps. These double as Sanity Check distribution and lead sourcing.
Cross-reference the four sources to find the gold: anyone who appears in 2+ of (Sanity Check engaged subscriber) × (phData-adjacent contact) × (1st-degree LinkedIn) × (active in a data community) is a TIER-1 lead. Run the intersection, not the union.
On named, verifiable individuals (the anti-fabrication discipline): I am returning ZERO invented names. The only buyer-side individual the vault records by name is Aaron Levie (CEO, Box), via his publicly-circulated "agent deployer and manager on every team" job description (primary source https://x.com/levie/status/2043883641366032638, read in full this session). But Levie is a CEO-altitude advocate that the role should exist — he is NOT a director/VP-Data who would retain RDCO. He belongs in the brief as category-legitimacy proof, NOT on a leads list. Every actual lead name must come from the founder running the method above against his own lists. 2 honest anchors (the ICP definition + the Levie role-legitimacy reference) beat 10 fabricated names.
Open follow-ups
- Founder action: run the Sanity Check export filter (title cluster × 100-500 headcount × engagement rank) and paste the top ~10 back into the vault — that single step produces the real named list this question asked for, from data only the founder holds.
- Founder action: map the phData-declined / de-scoped accounts that fall below phData's floor but fit RDCO's band, with the no-conflict guardrail in mind.
- Levie JD is verified and intact ([[~/rdco-vault/06-reference/2026-04-14-levie-agent-deployer-role-jd.md]], read in full this session) — no rehydration needed; it stands as the one named buyer-side role-legitimacy proof. (This corrects the 2026-05-28 OpenExO brief's claim that this file was a 0-byte stub.)
- Build a reusable "buyer-qualification" checklist artifact from the ICP section above (title / size / budget / trigger / disqualifiers) so every inbound or sourced name gets scored the same way.
- Instrument the intersection query (2+ source overlap = TIER-1) as a small founder-side spreadsheet once the four lists exist.
- Decide outreach framing per the create-the-category posture: lead with the buyer's stuck project and the data-underneath-the-AI insight, NOT with "FDE" or "agent-deployer" terminology buyers don't yet search ([[~/rdco-vault/06-reference/research/2026-05-30-fde-capture-vs-create-demand.md]]).
Sources
Vault:
- ~/rdco-vault/06-reference/research/2026-05-28-openexo-rewrite-vs-rdco-agent-deployer.md (queued this exact follow-up; buyer = director/VP-Data one layer below CEO sale; $20K/month, $200-300K discretionary budget)
- ~/rdco-vault/06-reference/research/2026-05-30-solo-vs-studio-fde-buyer-perception.md (build-shaped vs seat-shaped constraint on who the buyer is)
- ~/rdco-vault/06-reference/research/2026-05-30-fde-capture-vs-create-demand.md (buyers don't search "FDE"; source by role+trigger, not term)
- ~/rdco-vault/06-reference/2026-05-29-slotnick-cardinal-sin-platform-building-fde-wars.md (FDE = operator/VC discourse, not buyer search)
- ~/rdco-vault/06-reference/research/2026-05-21-enterprise-ai-agent-deployment-paths.md (four-archetype price map; solo-fractional = RDCO band)
- ~/rdco-vault/06-reference/2026-04-14-levie-agent-deployer-role-jd.md (buyer-side role legitimacy; Aaron Levie/Box, primary source https://x.com/levie/status/2043883641366032638 — read in full this session, file intact)
Web (accessed 2026-05-31):
- Hatchworks — Fractional Chief AI Officer (mid-market ICP: 100-1,000 employees, $10M-$1B revenue, $10K-$30K/mo, triggers, 30/90/6-12mo cadence): https://hatchworks.com/blog/gen-ai/fractional-chief-ai-officer/
- Evaboot — How to Find Decision-Makers on LinkedIn (filter/Boolean playbook): https://evaboot.com/blog/how-to-find-decision-makers-on-linkedin
- GiveMeLeads — LinkedIn Sales Navigator Search Filters Guide 2026 (headcount/seniority/changed-jobs filters): https://www.givemeleads.io/blog/linkedin-sales-navigator-search-filters-ultimate-guide
- Data Council 2026 (where data leaders/engineers congregate; SF, May 12-14 2026): https://www.datacouncil.ai/data-council-2026
Not accessed / honest gaps: Sanity Check subscriber list and phData internal pipeline are founder-side, not reachable by the sub-agent — they are where the real named list lives. No named individual leads are fabricated in this brief.