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Jared M. Grant — Data Science & Analytics Leader | Milwaukee — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Executive Leadership And Management →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
jasonkoch.ai ↗	72 match 1 shared topics	Jason Koch \| Data & Analytics Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
jasonlovesdata.com ↗	72 match 1 shared topics	Jason Koch \| Data & Analytics Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
owenfinnegan.com ↗	71 match 1 shared topics	Owen Finnegan — Chief Data & Analytics Officer	en	executive-leadership-and-management	robotsllmsaihumans	email phone	partial · 8
jacobroberson.com ↗	68 match 1 shared topics	Jacob Roberson — Data & Systems Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mikewmerritt.com ↗	68 match 1 shared topics	Mike Merritt - Digital Analytics Tagging Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
jeffmcmillioan.com ↗	68 match 1 shared topics	Jeff McMillioan / Design Leader / Product Designer	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mariosmaraziotis.com ↗	67 match 1 shared topics	Marios Maraziotis — Data Science Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
thinkibly.com ↗	67 match 1 shared topics	Thinkibly: Leadership, Thinking, Decision Science \| Thinkibly	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
denisegodreau.com ↗	67 match 1 shared topics	Denise Godreau — Keynote Speaker \| Leadership, Resilience & Unafraid	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
jamiethompson.tech ↗	66 match 1 shared topics	Jamie Thompson \| Engineering Leader \| Jamie Thompson	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
jasonruud.com ↗	66 match 1 shared topics	Jason Ruud — Executive Product Design, Strategy & UX Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
jen-schmitz.com ↗	66 match 1 shared topics	Jen Schmitz — Product Leader \| Strategy, Teams & Outcomes	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
jamesdmendoza.com ↗	66 match 1 shared topics	Jim Mendoza — Senior DBS Leader \| Innovation & AI Execution	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
ahmedtourk.com ↗	66 match 1 shared topics	Ahmed Tourk \| Engineering Manager & Agile Leader \| Netherlands	Netherlands~ en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
dermotdooley.com ↗	66 match 1 shared topics	Dermot Dooley \| Senior Engineering Leader	en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
bookhfsi.com ↗	66 match 1 shared topics	Matt Beaudreau — Keynote Speaker \| HFSI \| Sovereign Leadership	en	executive-leadership-and-management Lightspeed	robotsllmsaihumans	emailphone	none
markaltin.com ↗	66 match 1 shared topics	Mark Altin \| Learning Experience Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
theundauntedman.com ↗	66 match 1 shared topics	Men’s Leadership Coaching & Groups \| Undaunted Man	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.