Sr. Technical Product Manager - Analytics and Measurement

Versant•Orlando, FL

3d•Remote

About The Position

Fandango is seeking a Senior Technical Product Manager to build Studio and Exhibitor analytics and measurement products, including trusted metrics, dashboards, reports, and chat and agentic experiences. This hands-on role owns the roadmap and turns curated Fandango datasets into useful measures, reports, and answers customers can trust, using SQL, BI tools, and AI agents. Data Engineering prepares and governs the datasets; this role defines how customers and teams use them. The position shapes how data drives decision-making at Fandango by enabling self-service analytics and improving data quality and accessibility. It is remote, with opportunities for in-person collaboration of approximately 10% for team meetings, planning sessions, and key initiatives.

Requirements

6+ years in product management, BI, analytics, or data products, including analytics used by customers or business teams.
Strong SQL and data fluency, including joins, grain, aggregations, metric definitions, reporting logic, and investigating unexpected results.
Hands-on experience building or configuring dashboards, reports, or analytics views with tools such as Amazon Quick Suite (including Quick Sight), Omni, Tableau, Looker, Superset, or similar.
Practical experience using generative AI and agentic workflows to produce analytics, including generating and checking queries, metrics, dashboards, reports, or natural-language data answers.
Ability to test AI-generated analysis for calculation accuracy, explainability, data permissions, and consistency with agreed metric definitions.
Understanding of event tracking, measurement tags or pixels, and conversion measurement.
Clear communication and prioritization across product, data, and engineering teams.

Nice To Haves

Experience with server-to-server APIs.

Responsibilities

Own the roadmap, backlog, and delivery for Studio and Exhibitor analytics, measurement, dashboards, reports, and self-service experiences.
Work with Studio and Exhibitor users and customer-facing teams to define KPIs, calculations, comparisons, reporting needs, and acceptance criteria.
Define the questions, metric logic, data context, tools, and workflows needed for useful chat and agentic analytics experiences.
Execute Studio-requested client-side tag placements, changes, removals, and validation in Adobe and Google analytics environments, and support server-to-server CAPI measurement solutions with tag support.
Use SQL and AI-assisted or agentic workflows to create metric logic, queries, dashboard and report prototypes, and recurring analysis from approved datasets.
Check calculations, source data, edge cases, and answer quality before release.
Prototype and configure dashboards and reports with AWS analytics and AI services, including Amazon Quick Suite (including Quick Sight) and Amazon Bedrock AgentCore, and selected BI or chat tools such as Omni, Tableau, or ChatGPT.
Track accuracy, adoption, usability, documentation, and data access controls.
Work with BI, Data Science, Data Engineering, UX, and Engineering to productionize and improve analytics products.