Senior Director – Growth Analytics, Measurement & Marketing Science

DateMil; Florida; Hybrid; USD 180,000 - 240,000; Full time

Job summary

DateMil is seeking a seasoned analytics leader to helm marketing measurement, attribution, and growth analytics. You will drive data-driven decisions across marketing, product, and executive teams, shaping strategy and overseeing advanced analytics initiatives.

You will lead cross-functional projects, mentor senior analysts, and build scalable analytics systems to support growth across platforms and channels.

Qualifications

• Typically requires 10+ years of experience in marketing analytics, data science, or growth measurement.
• Experience leading analytics or measurement teams.
• Strong understanding of attribution and performance marketing.
• Experience with experimentation and statistics.
• Experience working with large datasets.

Responsibilities

• Lead the overall strategy for marketing measurement and performance analytics.
• Define frameworks for evaluating acquisition, retention, and lifetime value.
• Ensure marketing decisions are supported by reliable data.
• Improve how performance is tracked across all channels.
• Oversee development of attribution models.
• Improve multi-touch and cross-channel measurement.
• Lead incrementality testing and causal analysis.
• Ensure accurate understanding of marketing impact.
• Define experimentation standards across marketing and product.
• Support A/B testing and advanced experiment design.
• Ensure statistical rigor in performance analysis.
• Promote a culture of data-driven decision making.
• Build forecasting models for acquisition and revenue.
• Evaluate growth scenarios.
• Support planning and budgeting.
• Provide insights to leadership.
• Monitor CAC, LTV, ROI, retention, and conversion metrics.
• Identify opportunities to improve efficiency.
• Guide budget allocation decisions.
• Help scale successful channels.
• Partner with Data Engineering to improve data pipelines.
• Ensure marketing and product data are accurate.
• Define reporting standards.
• Support development of analytics tools.
• Work closely with Marketing, Product, Finance, Data Science, and Engineering.
• Translate business goals into analytical frameworks.
• Support executive decision-making.
• Align teams around shared metrics.
• Lead and grow analytics and measurement teams.
• Set high standards for analysis and reporting.
• Mentor managers and senior analysts.
• Build scalable processes.
• Support use of machine learning in marketing analytics.
• Improve targeting and segmentation models.
• Evaluate new measurement approaches.
• Ensure responsible use of automation.
• Present insights to senior leadership.
• Explain complex data clearly.
• Provide recommendations backed by analysis.
• Help guide company strategy.

Skills

Marketing analytics

Data science

Leadership

Cross-functional collaboration

Experiment design

Statistics

Communication

Executive stakeholder management

Tools

SQL

Python

R

Cloud data platforms

ML models

Marketing attribution tools

Job description

Overview

Team: Growth, Data Science & Marketing Intelligence

Employment Type: Full-Time, Permanent

Work Style: Hybrid

Key Responsibilities

Measurement Strategy & Marketing Science

• Lead the overall strategy for marketing measurement and performance analytics.
• Define frameworks for evaluating acquisition, retention, and lifetime value.
• Ensure marketing decisions are supported by reliable data.
• Improve how performance is tracked across all channels.

Attribution & Incrementality

• Oversee development of attribution models.
• Improve multi-touch and cross-channel measurement.
• Lead incrementality testing and causal analysis.
• Ensure accurate understanding of marketing impact.

Experimentation & Testing

• Define experimentation standards across marketing and product.
• Support A/B testing and advanced experiment design.
• Ensure statistical rigor in performance analysis.
• Promote a culture of data-driven decision making.

Growth Analytics & Forecasting

• Build forecasting models for acquisition and revenue.
• Evaluate growth scenarios.
• Support planning and budgeting.
• Provide insights to leadership.

Marketing Performance & ROI Optimization

• Monitor CAC, LTV, ROI, retention, and conversion metrics.
• Identify opportunities to improve efficiency.
• Guide budget allocation decisions.
• Help scale successful channels.

Data Infrastructure & Tools

• Partner with Data Engineering to improve data pipelines.
• Ensure marketing and product data are accurate.
• Define reporting standards.
• Support development of analytics tools.

Cross-Functional Leadership

• Work closely with Marketing, Product, Finance, Data Science, and Engineering.
• Translate business goals into analytical frameworks.
• Support executive decision-making.
• Align teams around shared metrics.

Team Leadership & Development

• Lead and grow analytics and measurement teams.
• Set high standards for analysis and reporting.
• Mentor managers and senior analysts.
• Build scalable processes.

AI, Modeling & Advanced Analytics

• Support use of machine learning in marketing analytics.
• Improve targeting and segmentation models.
• Evaluate new measurement approaches.
• Ensure responsible use of automation.

Executive Communication

• Present insights to senior leadership.
• Explain complex data clearly.
• Provide recommendations backed by analysis.
• Help guide company strategy.

About The Job

Typically requires 10+ years of experience in marketing analytics, data science, or growth measurement.

Experience leading analytics or measurement teams.

Strong understanding of attribution and performance marketing.

Experience with experimentation and statistics.

Experience working with large datasets.

Strong business and strategic thinking.

Experience partnering with executives.

Comfortable leading cross-functional projects.

Strong communication skills.

Experience in fast-growing environments.

Preferred Qualifications

Experience with mobile or online platforms.

Experience with subscription or marketplace products.

Experience with SQL, Python, or R.

Experience with cloud data platforms.

Experience with marketing attribution tools.

Experience with machine learning models.

About Datemil Inc.

Datemil Inc. is the parent company of Datemil Date, V.I.Pursuit, Concierge Matchmaking, Plink Bestie, Networking, and Coaching. Our growth strategy is built on strong analytics, disciplined measurement, and continuous experimentation to ensure we scale responsibly while delivering meaningful experiences.

AI Fluency

We value thoughtful use of AI and advanced analytics to improve decision-making and efficiency, while maintaining strong human judgment in interpreting results and setting strategy.

Candidates may use AI tools during the application process but should not use them to misrepresent experience.

Inclusion & Equal Opportunity

Datemil Inc. is committed to building an inclusive workplace where everyone is respected and supported. We welcome applicants from all backgrounds and provide reasonable accommodations throughout the hiring process.

AI in the Hiring Process

We may use AI-assisted tools during recruitment, such as transcription, summarization, or resume matching. These tools help efficiency, but all hiring decisions are made by people.

Participation in AI-supported interviews is optional.

Why Join Us

• Lead measurement strategy at scale
• Influence company growth decisions
• Work with marketing, data, and product leaders
• Build advanced analytics systems
• Help shape the future of our platforms