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Leads cross-platform data instrumentation and growth measurement across web and mobile products. Establishes event taxonomies, governs schemas, remediates Amplitude, architects GA4 and server-side tagging, configures advertising platform conversion signals, and leads incrementality testing. Partners with product, engineering, marketing, and agencies to improve attribution and optimize media spend. Builds auditing, observability, CI/CD linting, and SQL-based validation across BigQuery and Redshift.

Leads cross-platform data instrumentation, event taxonomy, analytics governance, attribution, and growth measurement across web and mobile platforms. Oversees Amplitude remediation, GA4 and server-side tagging architecture, Meta and advertising platform conversion signals, incrementality testing, and marketing spend optimization. Establishes SDUI tracking schemas, data observability, automated auditing, and CI/CD validation while coordinating Product, Marketing, developers, and external agency partners.

Own consumer growth strategy for high-scale weather apps, improving onboarding, registration, subscription conversion, notification opt-ins, widget adoption, experimentation velocity, and retention. The role leads cross-platform feature parity across iOS and Android and uses funnel analysis, cohort retention, and A/B testing to drive sustainable user value.

Lead consumer data instrumentation, quality, governance, and collection frameworks across web and mobile applications. Translate analytics requirements into technical specifications, partner with architects and developers on event tracking, validate data implementations, and guide data quality initiatives. Collaborate with data scientists, BI engineers, and business teams to improve accessibility, accuracy, lineage, and usability. Manage cross-functional technical projects, automated quality checks, dashboards, privacy considerations, and continuous improvements to consumer data infrastructure.

Leads consumer data instrumentation, quality, governance, and collection frameworks across web and mobile applications. Translates analytics requirements into technical specifications, partners with architects and developers on event tracking, establishes validation and data quality processes, and ensures data accessibility, lineage, and privacy compliance. The role coordinates data scientists, engineers, analysts, and business stakeholders while managing multiple technical initiatives in an Agile environment.

Analyze subscription user behavior and product performance to support growth strategy. Maintain analytics infrastructure, event taxonomies, data dictionaries, and tracking standards; validate instrumentation with engineering; develop measurement plans; and conduct behavioral, engagement, retention, and adoption analyses. Support A/B and multivariate experiments, integrate quantitative and qualitative research, and translate findings into actionable recommendations for technical and non-technical stakeholders.

The Senior Product Analyst analyzes behavioral data for consumer mobile apps, validates analytics instrumentation, maintains event taxonomies, develops measurement plans, and supports experimentation. The role partners with product, engineering, data science, and UX research to deliver insights on engagement, retention, adoption, and user experience. It also promotes self-service analytics, data quality, and proactive, evidence-based product decisions.

Leads and mentors an AI software engineering team while serving as a player-coach. Oversees cloud-native AI development across requirements, design, implementation, testing, and AWS deployment. Drives enterprise AI adoption, integrates emerging models, manages resources and delivery, promotes engineering quality and operational excellence, and communicates project status, risks, model performance, and cloud costs to stakeholders. Contributes to technology strategy, roadmaps, capacity planning, automation, and process improvements.

Build and operate high-scale cloud services that ingest, transform, store, and distribute geospatial and weather data. Modernize legacy systems, integrate AI and LLM workflows, improve platform reliability, optimize costs, maintain security compliance, and support multiple concurrent initiatives from design through production. Collaborate with product, operations, science, technology teams, and enterprise clients in a mission-critical 24x7 environment.

Leads and mentors an AI software engineering team while remaining hands-on in cloud-native development. Oversees requirements, architecture, implementation, testing, deployment, AWS infrastructure, resource allocation, and operational excellence. Drives enterprise AI adoption by integrating technologies such as Claude, Gemini, and OpenAI, defining technology roadmaps, optimizing cloud spending, improving processes, and communicating project status and risks to technical and business stakeholders.