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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in post-sales value realization, translating pre-sales commitments into measurable frameworks, and effectively communicating insights to C-suite stakeholders. Proficient in leveraging healthcare analytics and AI tools to drive strategic outcomes and operational improvements.
Highest-signal resume keywords
Healthcare AnalyticsPost-Sales Measurement FrameworksExecutive CommunicationAI Tools UtilizationCross-Functional Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ROI ModelsKPI DashboardsValue Tracking ProgramsUtilization MetricsEngagement Analytics
Soft Skills
Storytelling SkillsCuriositySound Judgment
Tools & Technologies
AI ToolsData Responsibility
Industry Keywords
Health EconomicsHealth InformaticsDigital HealthEmployee BenefitsHealth Insurance
About the role
Key responsibilities & impact- Own the post-sales Value Realization workstream across League's full customer portfolio
- Pick up pre-sales business cases at contract go-live and measure committed outcomes through the full contract term
- Translate pre-sales value commitments into post-sales measurement frameworks with KPIs, leading indicators, and lagging indicators
- Lead value review sessions with customer executive stakeholders, co-presenting performance data with account managers
- Narrate business outcomes League has enabled
- Partner with account teams to identify value gaps, at-risk accounts, and expansion signals
- Build and maintain a library of value stories, benchmarks, and proof points
- Develop scalable frameworks, templates, and playbooks for post-sales value realization programs
- Collaborate with Product and Solution Engineering on product roadmap and solution design feedback
- Stay current on digital health, payor, provider, benefits administration, and member engagement trends
- Present findings and recommendations to senior internal and external stakeholders
- Ensure access management, execute security policies, report incidents or violations, and comply with Information Security Policies
- Use AI tools in daily workflows while reviewing outputs for accuracy, bias, and quality
- Identify workflow improvements through responsible AI use and maintain data responsibility and security awareness
Requirements
What you’ll need- 6+ years of experience in healthcare analytics, actuarial science, health economics and outcomes research (HEOR), or health informatics
- Experience ideally within a health plan, health system, HEOR consultancy, or health-tech company
- Management consulting or strategic account management background is a plus but not a substitute for quantitative healthcare experience
- Ability to operationalize pre-sales ROI commitments into post-sales measurement frameworks, including ROI models, KPI dashboards, and value tracking programs for complex enterprise customers
- Strong analytical skills with customer data, utilization metrics, and engagement analytics
- Exceptional executive communication and storytelling skills for C-suite audiences
- Experience with large, matrixed organizations (Fortune 500 or equivalent)
- Proven ability to work cross-functionally with Product, Engineering, Sales, and Customer Success teams
- Experience in digital health, employee benefits, consumer engagement, or health insurance strongly preferred
- Startup and/or growth-stage technology experience is a plus
- Comfort owning high-stakes engagements end-to-end
- Demonstrated experience using AI tools in a practical, responsible way
- Curiosity and openness to experimenting with new technologies
- Ability to balance efficiency with quality and sound judgment
Benefits
Comp & perks- Bonus, equity and benefits are provided in addition to the base salary range (specific details not stated)
- Flexible Remote Days: 10 or 20 days each quarter depending on distance to the Toronto office
- Remote-eligible work arrangements for roles based anywhere in Canada or the US
- AI tools and AI-native ways of working
- Reference and background checks as part of the hiring process
