
Product Measurement and Insights Manager
Required skills
- measurement strategy
- outcome framework
- success metrics
- instrumentation
- experimentation
- reporting practices
- product lifecycle
- measurable hypotheses
- product performance
- adoption
Nice to have
- Master’s degree
- BCBSM experience
Role summary
The Product Measurement and Insights Manager will define and govern the product measurement strategy, outcome framework, success metrics, instrumentation, experimentation, and reporting practices across the product lifecycle. This role partners with product teams to translate vision into measurable hypotheses and provides insights to evaluate performance, adoption, and value. Responsibilities include establishing measurement standards, designing experiments, building dashboards, and promoting evidence-based decision-making by communicating insights to stakeholders. A Bachelor's degree in a related field and a minimum of seven years of experience in measurement, analytics, or a data-driven product role are required, along with experience in agile environments and defining KPIs in complex settings.
This role is responsible defining and governing the measurement strategy, outcome framework, success metrics, instrumentation, experimentation, and reporting practices used across the product lifecycle. Working as a strategic partner within the product team model, the role translates product vision and business goals into measurable hypotheses and provides the insights needed to evaluate performance, adoption, and value delivered.
- Define and govern the product measurement strategy and outcome framework, aligning key performance indicators, success measures, and value-realization indicators with product vision, customer needs, and business goals.
- Partner with Product Managers, Product Owners, business leaders, and product teams to translate desired outcomes into measurable hypotheses, success criteria, metric definitions, and learning plans across the product lifecycle.
- Establish measurement standards and define data and event instrumentation requirements in collaboration with engineering, data, and analytics teams; verify that measurement coverage supports reliable evaluation of product performance and customer behavior.
- Design and oversee product experimentation, including A/B and multivariate testing, and ensure statistically sound test design, analysis, interpretation, and communication of results.
- Build and maintain dashboards, scorecards, and recurring reporting that provide clear visibility into product performance, adoption, customer outcomes, operational results, and value delivered.
- Promote evidence-based decision-making by identifying gaps in measurement coverage, improving metric quality and comparability, communicating insights to technical and non-technical stakeholders, and helping teams act on measured outcomes and learning.
QUALIFICATIONS
- Bachelor’s degree in analytics, statistics, economics, computer science, business, or a related field. Master’s degree preferred.
- Minimum seven (7) years experience in measurement, analytics, product analytics, business intelligence, or a data-driven product role is required.
- Experience operating in agile product delivery models is required.
- Experience defining key performance indicator and outcome frameworks in complex, cross-functional environments; designing and interpreting experiments; defining instrumentation and event tracking with engineering and data teams; and working with enterprise platforms, digital channels, or large-scale systems is required.
- Equivalent or relevant BCBSM experience may be considered to satisfy the requirements outlined above.
Demonstrated expertise in measurement and analytics, strategic thinking, and business impact may be considered in lieu of certain experience requirements. - Advanced analytical and statistical skills; ability to design robust measurement approaches and translate business and customer outcomes into measurable metrics and hypotheses.
- Proficiency with structured query language, business intelligence dashboards, analytics tools, and experimentation platforms.
- Knowledge of data quality, instrumentation, metric governance, and experimental design.
- Strong written and verbal communication skills; ability to explain complex measurement concepts to non-technical stakeholders.
- Structured, detail-oriented problem solving skills.
- Ability to influence, establish alignment, and operate effectively in ambiguous, fast-moving environments.
All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability.
Candidates are hired on an "at will" basis. Nothing herein is intended to create a contract.
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