Director Analytics WOTC

What You'll Do

• Build the Analytics Foundation for DTCaaS
• Define the unified data architecture across our eCommerce platform and integrated systems.
• Establish cross-brand KPIs and measurement standards spanning sales, forecasting, fulfillment, customer behavior, and financial performance.
• Own the semantic layer, shared dashboards, and reporting assets used across all DTC brands.
• Lead instrumentation strategy to ensure consistent, high-quality events and insights across journeys (acquisition, checkout, campaigns, fulfilment, service).
• Implement data governance, privacy-by-design, and compliance frameworks in partnership with Legal, Security, and IT to ensure regulatory readiness and trusted insights.
• Deliver Scalable, Reusable Insights Products
• Build automated reporting and insight tools for leadership reviews, business insights, and operational actions.
• Develop dashboards and analytic products for sales, marketing, supply chain, finance, and operations.
• Create predictive modeling for sell-thru, inventory health, fulfillment operations, and customer lifetime value.
• Create self-service analytics capabilities that empower teams while maintaining governance and data quality.
• Define and operationalize analytics success metrics, such as insight adoption, forecast accuracy, and cycle-time reduction, to demonstrate business impact.
• Drive Operational Intelligence and Cost Transparency
• Develop models for commerce economics: shipping, payments, storage, returns, promotions, and platform cost allocation.
• Partner with Finance, Supply Chain, and Operations to enable data-driven planning and efficiency improvements.
• Improve business insights, merchandising insights, and logistics planning across regions.
• Integrate analytics outcomes into annual and long-range planning processes, securing executive sponsorship and linking initiatives directly to business goals.
• Lead and Grow a High-Performing Analytics Organization
• Lead business intelligence engineering and analytics talent across multiple domains.
• Mentor and develop team members while promoting excellence, collaboration, and innovation.
• Own the analytics intake, prioritization, roadmaps, and delivery and ensure visibility and alignment, and across functions.
• Partner closely with Product, Engineering, Marketing, Finance, Supply Chain, and CX to embed analytics into roadmap planning and decision-making.
• Influence leadership through clear storytelling, strategic framing, and data-driven recommendations.
• Shape the Future of Hasbro's Data & Analytics Capabilities
• Evaluate and integrate emerging technologies (AI/ML, predictive fulfillment, experimentation platforms, observability, automation).
• Define long-term principles and architectures that scale across brands, markets, and product lines.
• Champion DataOps, testing, lineage, and reliability standards to ensure trust in insights.
• Drive platform performance, cost governance, and continuous improvement across datawarehouses, BI tools, and event pipelines.
• Manage key vendor and technology partnerships to optimize platform performance, cost efficiency, and innovation across the data ecosystem.

Minimum Qualifications

• 10+ years of experience in data analytics, BI, analytics engineering, or data engineering.
• 5+ years leading multi-disciplinary analytics or data teams.
• Proven ability to architect and scale data models, dashboards, forecasting tools, and analytics foundations for commerce or consumer-facing platforms.
• Strong understanding of how analytics informs commerce, marketing, finance, supply chain, customer experience, and operations.
• Experience partnering with engineering and product teams to influence data models, instrumentation, and system design.
• Exceptional communication skills, able to simplify complexity and influence executives and cross-functional leaders.
• Familiar with modern data platforms and analytics engineering concepts (Snowflake, dbt, Databricks, Tableau/Power BI), with the ability to guide technical teams and set standards without being hands-on.
• Demonstrated success delivering measurable business impact through analytics

Preferred Qualifications

• Proven ability to influence senior stakeholders and drive alignment across functions to advance enterprise-wide analytics initiatives.
• Able to apply global privacy requirements (GDPR, CCPA, COPPA) when shaping data models, instrumentation plans, and reporting systems.
• Experienced designing insights and forecasting frameworks that scale across multiple brands and regions, accounting for differences in currency, tax/VAT, catalog structure, and fulfillment workflows.
• Background applying predictive analytics, or experimentation frameworks to strengthen demand planning, customer insight, and conversion optimization.