Director, Deployment Strategist
Location
United States
Posted
86 days ago
Salary
0
No structured requirement data.
Job Description
Director, Deployment Strategist
Beacon Talent
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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. - 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.). Qualifications - 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. Requirements - 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. Benefits - Competitive base + performance upside + equity (details shared in process), plus comprehensive benefits.
Job Requirements
- 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.
- 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.
Benefits
- Competitive base + performance upside + equity (details shared in process), plus comprehensive benefits.
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