Sr. Technical Product Manager - Analytics and Measurement

Versant•Orlando, FL

1d•Remote

About The Position

Fandango is seeking a Senior Technical Product Manager to build Studio and Exhibitor analytics and measurement products, from trusted metrics, dashboards, and reports to chat and agentic experiences that help customers explore their data. This is a hands-on product role that owns the roadmap and uses SQL, BI tools, and AI agents to create and refine working analytics from curated Fandango datasets. Data Engineering prepares and governs the datasets; this role shapes them into useful measures, reports, and answers customers can trust. 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 approximately 10% of the time for team meetings, planning sessions, and key initiatives. The role partners with Studio and Exhibitor users and customer-facing teams to establish KPIs, calculations, comparisons, reporting needs, and acceptance criteria. It also develops chat and agentic analytics experiences, carries out client-side analytics tag work, builds and refines analytics using SQL and AI-assisted workflows, and prototypes dashboards and reports using AWS analytics and AI services and selected BI or chat tools. The product manager monitors accuracy, adoption, usability, documentation, and data access controls, collaborating with BI, Data Science, Data Engineering, UX, and Engineering to productionize and improve the products.

Requirements

At least 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 investigation of unexpected results.
Hands-on experience building or configuring dashboards, reports, or analytics views in 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—not only to write requirements—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.
Shape chat and agentic analytics experiences by defining the questions they should answer, the metric logic and data context they need, and the tools or workflows required to produce useful answers.
Execute studio-requested client-side tag placements, changes, removals, and validation on Adobe and Google analytics environments; support server-to-server CAPI measurement solutions with tag support.
Build and refine analytics directly using 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, such as 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.