Denver Metropolitan Area
I've spent the last 10 years building analytics teams and turning data into decisions that drive business results. I started in consulting, working with Fortune 50 companies on cloud transformations and data initiatives. I helped untangle complex systems and build scalable solutions. From there, I moved into product and growth analytics, helping teams figure out what's working and where to invest. Now, I build analytics systems from scratch. I co-founded Surge Digital, and currently lead strategy and analytics at Metrix Made. We help SMB and PE-backed companies understand their funnels, forecast performance, and make better decisions across GTM, product, and finance. I'm drawn to hard problems, the kind where you need to model scenarios, connect signals across teams, and build systems that help people decide with confidence. What I do: ● Design BI systems and KPI frameworks that teams actually use ● Build forecasting and attribution models that drive revenue insight ● Lead teams across product, engineering, finance, and operations ● Work in ambiguous or high-complexity environments ● Turn messy data into clear, repeatable decision frameworks ● Shape data architecture and platform strategy Long-term, I want to keep building analytics organizations where strategy meets financial and quantitative rigor. Skills: Business Intelligence, Data Analytics, Forecasting & Predictive Modeling, Attribution Modeling, KPI Development, Executive Dashboards, SQL, Python, R, PowerBI, Tableau, BigQuery, AWS, Azure, GCP, Data Architecture, Cross-Functional Leadership, Strategic Planning, Financial Modeling, GTM Strategy Let's connect: I'm always open to conversations about analytics, strategy, or hard problems worth solving. Reach out on LinkedIn or email me at [email protected]
Built and lead the centralized analytics and performance function for Metrix Made, a growth and analytics division within Heinrich, supporting SMB and PE-backed clients with decision systems spanning marketing, product, and revenue. ● Built and scaled a centralized analytics function supporting 20+ clients by defining KPI frameworks, analytics roadmaps, and operating rhythms, enabling consistent executive reporting across portfolios ● Improved cash flow predictability by 20-25% by developing forecasting and predictive models using SQL-based datasets and statistical methods to guide spend pacing and scenario planning ● Accelerated executive decision-making by 30% by consolidating fragmented reporting into standardized Power BI dashboards connected to BigQuery, improving metric consistency and stakeholder alignment ● Reduced ad hoc rework by 40% by implementing structured analytics workflows for reporting, forecasting, and stakeholder intake, improving turnaround time and analysis quality ● Led analytics and measurement strategy across paid media, CRO, lifecycle, and revenue operations by building attribution models and funnel KPIs used to evaluate CAC, ROAS, and growth efficiency ● Owned technical decision-making around tracking, attribution, analytics tooling, and data infrastructure, reducing data gaps by 50%+ and improving confidence in performance insights ● Managed and mentored a team of 5 analysts, increasing delivery throughput by 30% and stakeholder satisfaction by 25% through clear priorities and quality standards
Co-founded a boutique analytics and strategy consultancy helping SMB and PE-backed companies modernize measurement, improve attribution, and drive capital-efficient growth. ● Scaled an analytics and consulting practice from zero to a sustained multi-client portfolio in under 18 months by delivering SQL-driven analysis, dashboards, attribution models, and executive decision systems for 25+ clients ● Reduced CAC inefficiency by 15% by building end-to-end revenue, demand, and funnel models and applying attribution-informed channel-level budget allocation and measurement plans ● Eliminated $500K in annual wasted ad spend by designing custom multi-touch attribution and cohort-based measurement models to identify non-performing spend and conversion drop-offs ● Increased conversion rates by 15-20% by leading CRO, lifecycle, and marketing analytics programs using experiment design and funnel analysis across paid, organic, and retention channels ● Designed unified marketing and analytics reporting ecosystems (paid media, SEO, CRO, CRM) that reduced decision latency and improved forecast confidence for founders and growth leaders ● Enabled $200K+ in USDA grant funding by modeling ROI and impact scenarios and packaging analytics into executive-ready narratives and supporting documentation ● Strengthened capital planning for $10M+ infrastructure portfolios by delivering risk, financial, and performance models that reduced planning cycle time by 20% ● Delivered $3-5M+ in multi-year cost avoidance through segmentation, forecasting, and modernization sequencing analysis across complex physical footprints
Led analytics, data platform strategy, and delivery across cloud and enterprise data initiatives, partnering with engineering and business stakeholders to improve data access, reliability, and adoption. ● Enabled 100+ users to access and use enterprise data by serving as product owner for an AWS and Confluent data platform, translating stakeholder needs into prioritized backlogs and delivery plans ● Improved production deployment stability by 30% by shaping forecasting, orchestration, and monitoring strategy for a GCP-based drone delivery platform, reducing model failure modes through validation and release process improvements ● Accelerated data standardization by 45% by coordinating cross-team data integration across 20+ acquisitions, aligning data models, migration requirements, and reporting expectations ● Increased platform adoption by 35% by defining success metrics, documenting analytics requirements, and partnering with engineering teams to improve data access patterns for reporting and ML use cases ● Built KPI frameworks and BI dashboards that reduced manual reporting effort and improved stakeholder visibility into platform performance and risk
Led enterprise analytics and transformation programs for Fortune 500 and mid-market clients, partnering directly with executive sponsors to translate ambiguous business problems into structured analysis, KPIs, and decision frameworks. ● Directed analytics workstreams for large-scale transformation initiatives, improving forecasting accuracy, KPI alignment, and executive visibility across finance, product, and engineering ● Reduced cloud spend by 25% and increased delivery velocity by 30% by leading analytics and value tracking for a telecom transformation, managing a $4M cloud budget ● Built executive dashboards and performance reporting to guide investment decisions, resource allocation, and roadmap prioritization ● Improved cross-functional alignment by 30% by defining success metrics, structuring analysis plans, and presenting trade-offs to senior stakeholders ● Advised senior leaders on analytics maturity, operating models, and long-term data/decision architecture, influencing strategy at both the business and technical layers. ● Standardized reporting and KPI definitions across multiple teams, reducing metric disputes and improving decision confidence
Supported enterprise cloud and data modernization initiatives through analytics, reporting, and decision support. ● Designed analytics frameworks and data models supporting $20M+ cloud and data initiatives, improving reporting consistency and analytics readiness ● Built dashboards and forecasting tools that reduced reporting latency by 25% and improved stakeholder visibility ● Conducted financial, operational, and product analyses to identify cost levers, efficiency gaps, and modernization opportunities ● Partnered with engineering and program leadership during cloud and data platform implementations ● Supported prioritization, scenario planning, and multi-quarter roadmap planning through quantitative analysis
Delivered analytical insights and reporting to support technology, cloud, and business transformation programs. ● Analyzed enterprise workflows, systems, and data gaps to inform multi-million-dollar transformation roadmaps ● Developed executive dashboards, analyses, and insights to support modernization and investment decisions ● Evaluated solution alternatives and redesigned processes using data-driven frameworks ● Collaborated with engineering, PMO, and business stakeholders to align technical decisions with business objectives
Led analytics supporting enterprise cloud and identity transformation programs, with a focus on cost optimization, performance measurement, and executive reporting. ● Reduced identity management costs by 95% by supporting delivery of an Azure AD B2C identity platform serving 750,000+ users, translating technical requirements into operational metrics and adoption reporting ● Established KPI frameworks and reporting layers to track cloud migration progress and operational risk across 5+ enterprise programs, improving program visibility and issue detection ● Reduced stakeholder rework by 40% by standardizing metric definitions and reporting cadences across technical and business teams ● Increased reporting reliability by 50% through data validation, source reconciliation, and documentation of assumptions used in executive dashboards ● Partnered with architecture and delivery teams to translate business and technical requirements into structured analysis used for solution design and governance
Supported enterprise technology, cloud, and operational transformation initiatives through analytical modeling, reporting, and performance analysis. ● Built data models, dashboards, and reporting used by program managers to track modernization progress and surface system and process bottlenecks ● Conducted cost, risk, and performance analyses to support infrastructure and cloud planning decisions ● Standardized reporting templates and metrics, reducing weekly analysis time and improving consistency across teams ● Supported senior analysts and engagement leads with ad hoc analysis, research, and executive-ready materials