Director, 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.