One Park Financial

Chief Marketing Officer

• Set and lead the marketing analytics agenda and roadmap from measurement through advanced modeling
• Own attribution end to end, including multi-touch models and ROAS by channel, campaign, and creative
• Lead media mix modeling, incrementality testing, and geo-lift experiments to guide budget allocation and establish causal impact
• Lead predictive marketing data science, including lead-value scoring, value-based audience segmentation, and predictive ROAS
• Own full-funnel marketing performance measurement from ad impression through questionnaire, funded deal, and downstream outcome
• Direct the build of campaign taxonomy, naming standards, UTM governance, attribution pipeline, customer data platform, and marketing data model with data engineering
• Own pre-lead funnel tracking, landing-page and questionnaire step-level analysis, and campaign drop-off analysis
• Own KPI and value-realization frameworks across the marketing project portfolio
• Lead, develop, and grow the data science and analytics team
• Provide analytics input to marketing planning and budget decisions with quantified tradeoffs
• Present recommendations and analytical findings to executives, including the CEO, in plain language with clear visuals
• Partner closely with the Senior Director of Business Intelligence and marketing and growth leadership
• Incorporate modern AI and LLM tooling into marketing analytics operations

Director, Marketing Analytics

Analyst

• Design and size pricing and credit strategies, building clear options and sensitivity bands before launch
• Ground recommendations in projected and realized economics
• Continuously monitor portfolio performance, including vintage and cohort trends, roll rates, loss and delinquency trends, and renewal performance
• Measure the impact of strategy changes after launch through meaningful tests or comparisons
• Identify and size automation and growth opportunities and partner with Pricing and Engineering to deploy them
• Monitor portfolio composition and detect meaningful mix shifts
• Partner with Data Science on model development and validation
• Build documented, version-controlled, rerunnable analyses
• Present clear recommendations, defensible numbers, and uncertainties to executives including the CEO

Senior Analyst, Portfolio Strategy

• Design and size pricing and credit strategies with clear options and sensitivity bands
• Build economic cases based on projected and realized outcomes
• Monitor portfolio performance, including vintage and cohort trends, roll rates, losses, delinquencies, and renewals
• Measure the impact of strategy changes after launch through meaningful tests or comparisons
• Identify and size automation and growth opportunities
• Partner with Pricing and Engineering to implement opportunities in production
• Monitor portfolio composition and mix shifts over time
• Partner with Data Science on model development and validation
• Build documented, version-controlled, repeatable analyses
• Present recommendations, defensible numbers, and limitations to executives including the CEO

• Design and size pricing and credit strategies with clear options and sensitivity bands
• Build economic cases and quantify projected and realized business and customer value
• Monitor portfolio performance, including vintage and cohort trends, roll rates, losses, delinquencies, and renewals
• Measure the impact of strategy changes after launch using meaningful tests or comparisons
• Identify and size automation and growth opportunities
• Partner with Pricing and Engineering to implement opportunities in production
• Monitor portfolio composition and identify meaningful mix shifts
• Partner with Data Science on model development and validation
• Create documented, version-controlled, rerunnable analyses
• Present recommendations, defensible numbers, and uncertainties to executives including the CEO
• Work across acquisition funnel, scoring models, offer construction, and portfolio performance

Marketing Analyst

• Own recurring paid-performance reporting across Meta, Google, TikTok, and email at campaign, ad set, and creative levels
• Measure cost per funded deal and return on ad spend, not only cost per lead
• Analyze the full acquisition funnel from ad click through funded deal
• Identify funnel drop-off points, quantify their costs, and recommend changes
• Build quality metrics distinguishing channels that generate many businesses from channels that generate fundable businesses
• Design and interpret creative, landing page, audience, and geo-holdout tests
• Determine whether observed differences represent real effects or differences in channel audience
• Help shape and quality-check marketing data foundations, including tagging, attribution, and data models
• Reconcile spend and validate joins between marketing activity, leads, and funded deals
• Build dashboards and reporting used by marketing and executives
• Present findings in plain language with clear recommendations
• Report to Analytics leadership and work alongside the data science and analytics team

Senior Marketing Analyst

• Own recurring paid-performance analysis across Meta, Google, TikTok, and email, down to campaign, ad set, and creative
• Measure cost per funded deal and return on ad spend, not only cost per lead
• Analyze the full acquisition funnel from ad click through funded deal
• Identify funnel drop-off points, quantify their cost, and recommend changes
• Build quality metrics to distinguish high-volume channels from channels producing fundable businesses
• Design and interpret creative, landing page, audience, and geo-holdout tests
• Help shape and quality-check marketing data foundations, including tagging, attribution, and data models
• Reconcile spend and validate joins between marketing activity, leads, and funded deals
• Build dashboards and reporting used by marketing and executives
• Present findings in plain language with clear recommendations
• Report to Analytics leadership and work alongside the data science and analytics team

• Own recurring analysis of paid performance across Meta, Google, TikTok, and email at campaign, ad set, and creative levels
• Measure cost per funded deal and return on ad spend, not only cost per lead
• Analyze the full acquisition funnel from ad click through funded deal
• Identify funnel drop-off points, quantify costs, and recommend changes
• Build quality metrics to distinguish high-volume channels from channels producing fundable businesses
• Design and evaluate creative, landing page, audience, and geographic holdout tests
• Determine whether test differences represent real effects or audience composition differences
• Help shape and quality-check marketing data foundations, including tagging, attribution, and data models
• Reconcile spend and validate joins between marketing activity, leads, and funded deals
• Build dashboards and reporting used by marketing and executives
• Present findings in plain language with clear recommendations
• Report to Analytics leadership and collaborate with data science and analytics teams
• Use AI and LLM tooling to accelerate and improve analysis