Job Description
Job DescriptionDirector, Deployment Strategist (Applied AI / Healthcare / Regulated Data)
Location: U.S. (Remote) or major hub (hybrid optional)
Type: Full-time
Seniority: Mid–Senior (player/coach)
Start: As soon as available
Beacon Talent is conducting a confidential search for a venture-backed technology company building an applied AI platform used by teams developing models in regulated, data-intensive environments (e.g., healthcare and adjacent domains). The platform helps customers evaluate performance, operationalize evidence, and streamline adoption with rigorous data workflows and domain-expert guidance.
The Opportunity
This role owns a portfolio of the company’s most strategic customers—many of whom are technical AI teams—ensuring projects launch smoothly, deliver measurable outcomes, and expand into long-term partnerships. You’ll sit at the intersection of customer success, program delivery, and product influence, partnering closely with Engineering, Data, Product, and Leadership.
What You’ll Do
Own high-stakes customer programs
-
Lead end-to-end delivery for complex, multi-workstream engagements—from kickoff through final readout and ongoing expansion.
-
Translate ambiguous customer needs into clear scopes, milestones, success metrics, and deliverables.
Run cross-functional execution (and jump in when needed)
-
Coordinate internal teams (Product, Data, Engineering, Operations) to hit timelines and quality bars.
-
Unblock execution, surface risks early, and drive resolution—occasionally getting hands-on with artifacts like analysis plans, evaluation summaries, or workflow specs.
Be the primary customer interface
-
Manage executive-level relationships and day-to-day stakeholders.
-
Set communication cadence, run steering check-ins, handle escalations, and ensure crisp alignment.
Convert insights into product leverage
-
Synthesize customer feedback into scalable improvements: repeatable processes, templates, playbooks, and product roadmap inputs.
-
Partner with Product to shape what becomes “standard” vs. bespoke.
Drive retention and growth
-
Own renewal readiness, account health, and expansion opportunities.
-
Identify upsell paths tied to value (new datasets, evaluation modules, workflow automation, added sites/teams, etc.).
What Success Looks Like (First 6–12 Months)
-
Customer programs are delivered on-time, with clear outcomes and high satisfaction.
-
You’ve built repeatable delivery motions that reduce rework and improve predictability.
-
Key accounts expand through renewals + additional scope, driven by demonstrated impact.
-
Internal teams feel you are a reliable “quarterback” who brings clarity, prioritization, and calm execution.
What You Bring (Required)
-
6+ years in a client-facing role: customer success, strategic account management, solutions consulting, engagement management, or similar.
-
Demonstrated strength in program/project management across cross-functional technical teams.
-
Comfort working with complex data products (structured + unstructured; bonus for imaging, time-series, waveforms, or multimodal pipelines).
-
Ability to bridge technical and non-technical conversations—credible with ML/engineering and effective with senior executives.
-
Track record of driving retention and expansion (renewals, upsell, multi-year partnerships, or growth in account scope).
-
Highly organized, proactive, and effective in fast-moving, build-as-you-go environments.
Nice to Have
-
Experience in regulated AI (healthcare, life sciences, fintech, insurance, public sector, etc.).
-
Familiarity with evaluation/validation concepts (model performance studies, monitoring, data quality frameworks, evidence generation).
-
Exposure to regulatory, compliance, or procurement considerations that influence adoption.
-
Prior work supporting consortium-style initiatives, research collaborations, or multi-stakeholder programs.
Compensation & Benefits
Competitive base + performance upside + equity (details shared in process), plus comprehensive benefits.