Adoption Analytics & Insights Manager

Appnovation Technologies•New York, NY

About The Position

Join Appnovation to deliver high-impact results for a global leader in healthcare, contributing to breakthroughs that change patients' lives. As we modernize the digital employee experience, the GTM and Adoption team ensures new platforms become seamlessly embedded into how our colleagues work. The Adoption Analytics & Insights Lead is the data-driven engine of this team. You will track platform engagement, identify user barriers, and translate deep telemetry into actionable insights. By focusing on core success metrics like 30-day active usage and user sentiment, you will set quarterly targets, build dynamic dashboards, and treat every adoption tactic as a measurable hypothesis. Ultimately, you will diagnose why adoption stalls and route effective solutions using your expertise in Funnel Optimization, ROI Reporting, and Telemetry. This role tracks the platform's two core success metrics: colleagues actively doing real work on the platform in the last 30 days, and a strong result on the Sean Ellis “very disappointed if it went away” test. Every other metric across community, learning, and communications ladders up into those two. This is not a report-after-the-fact role: the person hired will set the quarterly targets, build the dashboards the team checks weekly, and treat every tactic across the team as a hypothesis to be measured, not a one-off. This role is also the one that tells the rest of the team why adoption is stalling, not just that it is. When a metric misses, this role diagnoses whether it's a workflow-fit problem, a comprehension gap, a motivation gap, or something structural, and hands that diagnosis to the Head of GTM and Adoption to route to the right function. This role also draws the line between “completed training” or “joined a channel” and “actually adopted,” so the team is never celebrating activity that doesn't hold up over time.

Requirements

Bachelor's degree in Data Science, Analytics, Business, Marketing, or a related field.
5–8+ years of experience in product analytics, digital telemetry, or marketing growth analytics.
Strong proficiency in data visualization tools (e.g., Tableau, PowerBI) and product analytics platforms.
Demonstrated ability to design and measure user activation funnels and adoption metrics, including product-led growth (PLG) metrics (activation, retention cohorts, Sean Ellis-style testing).
Proven track record of setting KPI targets, building dashboards, and running a proactive hypothesis-test-and-scale discipline.
Excellent data storytelling skills, with the ability to translate complex analytics into actionable briefs for non-technical stakeholders.
Experience diagnosing root causes of adoption stalls (workflow fit, content gaps, motivation, organizational barriers).
Comfort building and maintaining measurement partnerships across multiple distinct functions (e.g., community, learning, marketing).
Experience defining and measuring value-delivery outcomes (time saved, error reduction, quality of output), rather than just raw usage.

Nice To Haves

Experience working directly alongside product management, learning, or marketing teams in a growth-focused environment.
Familiarity with organizational network analysis (ONA) or workplace analytics.
Familiarity with enterprise software telemetry and API integrations.
Experience working in pharma, healthcare or similarly regulated enterprise environments.

Responsibilities

Establish and own the engagement baseline for every colleague-facing platform. Track the two core success metrics (30-day active usage and Sean Ellis "disappointment" test score), setting quarterly targets and ensuring all secondary metrics connect back to them.
Define and track critical behavioral metrics, including depth of tool usage, feature breadth, and long-term retention to isolate exactly where users drop out of the adoption lifecycle.
Diagnose whether missed adoption targets stem from workflow fit, comprehension gaps, motivation/awareness gaps, or structural barriers, and trigger root-cause reviews with clear recommendations.
Partner with learning and advocacy leads to track the gap between "completion" or "joining" and actual readiness or active engagement, measuring long-term behavioral changes.
Synthesize community, learning, and communication performance data into a unified, cross-functional picture of the best tactics, channels, and audience segments.
Partner with experience architecture and product owners to define and track leading indicators of "value" (e.g., time saved, error reduction, satisfaction) alongside standard usage data.
Feed real-time usage data to team leads to enable the design of highly targeted, localized re-activation campaigns and training assets.
Pair quantitative metrics with qualitative feedback to translate adoption data into clear, numbers-first business value and ROI reports for executive stakeholders.