Bachelor's degree in analytics, statistics, economics, computer science, business, or related field; Master's preferred.
7+ years in measurement, analytics, product analytics, or business intelligence.
Experience in agile product delivery models.
Proven ability to define KPIs and outcome frameworks in complex environments.
Advanced analytical and statistical skills for designing measurement approaches.
Proficiency in SQL, business intelligence dashboards, and experimentation tools.
Strong communication skills for conveying complex concepts to non-technical audiences.
Responsibilities
Define and govern product measurement strategy and outcome framework.
Partner with product teams to translate outcomes into measurable hypotheses.
Establish measurement standards and collaborate with engineering and analytics teams.
Design and oversee product experimentation, ensuring sound test design and analysis.
Build and maintain dashboards and reports for product performance visibility.
Promote evidence-based decision-making by identifying measurement gaps and communicating insights.
Benefits
Flexible work environment.
Opportunities for professional development and growth.
Collaborative team culture.
Access to advanced analytics tools and resources.
Full Job Description
Job Description
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.
