Sr. Director - Marketing Analytics

H&R Block, Inc.; Missouri; On-site; USD 170,000 - 290,000; Full time

Job summary

H&R Block, Inc. is looking for a Senior Director of Marketing Analytics to spearhead a centralized analytics organization. The successful candidate will oversee marketing measurement, predictive modeling, and strategic recommendations, driving business outcomes through actionable insights.

This leadership role requires extensive experience in marketing analytics, deep expertise in measurement methodologies, and the ability to collaborate with various organizational departments. The role offers a competitive salary range of $170,000 to $290,000 per year.

Qualifications

• 12+ years of experience in marketing analytics or data strategy.
• 5+ years leading enterprise-scale analytics organizations.
• Experience supporting multi-brand organizations.

Responsibilities

• Own the end-to-end marketing measurement strategy.
• Lead measurement and optimization across marketing channels.
• Develop scalable models for customer retention and value.

Skills

Marketing analytics

Predictive analytics

Attribution

Media measurement

Statistical modeling

Data strategy

Education

Bachelor’s degree in Marketing, Analytics, Statistics, or related field

Tools

SQL

Python/R

BI platforms (Tableau, Power BI)

Job description

About the Role

The Senior Director of Marketing Analytics will build and lead a centralized analytics organization responsible for measuring the effectiveness and efficiency of all marketing activity across paid, earned, and owned channels. This role will partner closely with Marketing, Finance, Data, Product, Media, and Executive Leadership to provide actionable insights, predictive modeling, and strategic recommendations that drive business outcomes.

This leader brings deep expertise in marketing measurement, predictive analytics, and executive storytelling, with the ability to translate complex data into strategic decisions in a multi-business-unit environment.

Day to Day

• Enterprise Marketing Measurement & Analytics: Own the end-to-end marketing measurement strategy across all business units and channels. Establish standardized KPI frameworks, methodologies, and reporting governance across the organization. Develop enterprise dashboards and executive reporting that provide clear visibility into marketing performance, efficiency, and business impact. Ensure consistent definitions, methodologies, and data integrity across all reporting and analytics outputs. Serve as the independent authority on marketing performance and measurement credibility.
• Channel Performance & Optimization: Lead measurement and optimization across paid, owned, earned, brand, and cross-channel marketing to evaluate effectiveness, incrementality, customer journey performance, and budget efficiency.
• Attribution, MMM & Forecasting: Lead enterprise attribution, media measurement, media mix modeling, and forecasting capabilities to improve marketing investment decisions and business planning. Establish practical, statistically sound approaches for incrementality testing, scenario planning, and hypothesis validation. Partner with Finance and Marketing leadership to quantify channel contribution, optimize spend, and translate model outputs into actionable budget guidance. Continuously improve methodologies as privacy regulations, platforms, and business needs evolve, with clear visibility into forecast accuracy and confidence.
• Predictive Analytics, Customer Insights & Financial Performance: Lead predictive analytics and modeling that inform acquisition, retention, profitability, and customer value decisions across the enterprise. Develop scalable models for propensity, churn, lifetime value, demand, and retention, and monitor performance over time. Translate model outputs into operational decisions and partner with business teams to activate insights and quantify impact. Partner with Finance to standardize Lifetime Value vs Cost of Acquisition, payback, and customer profitability frameworks that support growth investment decisions.
• Brand, Reputation & Emerging Capabilities: Lead brand tracking and reputation measurement programs that provide insight into awareness, consideration, sentiment, share of voice, and competitive positioning. Synthesize consumer and market intelligence into strategic recommendations for Marketing and Executive Leadership. Establish measurement approaches for emerging capabilities, including AI-enabled marketing initiatives, generated content, and customer experiences.
• Organizational Leadership: Build and lead a high-performing marketing analytics organization with a clear vision, scalable operating model, and near‑term business impact. Establish scalable operating models, prioritization frameworks, and cross‑functional processes. Drive a culture of analytical rigor, objectivity, and business partnership. Serve as a strategic advisor to executive leadership on marketing performance and investment decisions. Influence senior stakeholders through clear storytelling, strong visualization, and ROI‑focused recommendations.

Required Qualifications

• 12+ years of experience in marketing analytics, marketing science, business intelligence, or data strategy.
• 5+ years leading enterprise‑scale analytics organizations.
• Expertise in marketing analytics, attribution, media measurement, media mix modeling, forecasting, predictive analytics, LTV:CAC, and brand measurement.
• Experience supporting multi‑brand or multi‑business‑unit organizations.
• Experience partnering closely with Finance and Executive Leadership.
• Proven ability to influence senior stakeholders and drive organizational change.
• Bachelor’s degree in Marketing, Analytics, Statistics, Economics, Data Science, Business, or a related field required; advanced degree preferred.

Technical & Analytical Expertise

• Strong understanding of statistical modeling, forecasting, experimentation, and machine learning methods applied to marketing and customer analytics.
• Proficiency in attribution, incrementality, media mix modeling, segmentation, propensity modeling, and marketing measurement methodologies.
• Knowledge of marketing data ecosystems, governance, visualization, and executive reporting tools.

Preferred Qualifications

• SQL
• Python/R expertise
• BI platforms (Tableau, Power BI, Looker, etc.)
• CDPs and marketing data platforms
• Marketing automation and media platforms
• Cloud architecture/solutions (Azure, AWS)

Pay Range Information

The pay range for this position is listed below. Local minimum wage laws apply. Individual pay decisions will depend on job‑related factors such as experience, education, skill, performance, and geographic location where work will be performed. Successful candidates may be able to participate in one or more incentive compensation or short‑term incentive plans, which could generate additional earnings in accordance with the terms of each plan.

Pay Range: $170,000.00 – $290,000.00 per year.