Sr Director, Enterprise Analytics & Business Intelligence

Learning Care Group•Novi, MI

About The Position

The Senior Director, Enterprise Analytics & Business Intelligence will rebuild and lead Learning Care’s enterprise analytics function, driving strategy, spend, and business decision-making across marketing, retention, product, operations, and digital. The role uses rigorous measurement, forecasting, and modeling to connect business activity to revenue and EBITDA outcomes, including operational labor and food spend across a 1,100-school chain and an 11-brand portfolio. This leader is accountable for establishing a modern analytics operating model and building a multi-tier analytics team from the ground up. The role owns enterprise analytics strategy, measurement standards and governance, and input into the analytics platform roadmap. It regularly presents business performance, forecasts, findings, and recommendations to the Executive Leadership Team, connecting marketing and digital investment to registrations, enrollments, utilization, and enterprise outcomes. The role also directs the voice-of-the-family measurement program and manages enterprise vendor and consultant relationships.

Requirements

Bachelor’s degree in business, finance, statistics, economics, data science, or a related field.
10+ years of progressive experience in analytics, business intelligence, finance, or data science leadership, including at least 5 years in a director-level or above role.
Experience leading enterprise analytics or BI functions in a multi-brand or multi-business-unit consumer organization.
Demonstrated experience building revenue flow-through models connecting business inputs through a multi-stage funnel to financial outcomes and defending them in executive review cycles.
Demonstrated experience building or rebuilding an analytics or BI function from the ground up, including operating model design, intake and prioritization frameworks, and quality standards.
Experience hiring, coaching, scaling, and retaining analytical teams, including performance management and succession planning.
Experience regularly presenting analytical findings, enterprise forecasts, and strategic recommendations to executive leadership teams.
Hands-on fluency with modern data warehouses and BI platforms, such as Microsoft Fabric, Snowflake, Databricks, Power BI, or Tableau.
Working-level fluency with SQL and statistical modeling tools such as Python, R, or equivalent, sufficient to validate team outputs.
Significant marketing analytics experience, including attribution, marketing mix modeling, incrementality testing, and customer acquisition economics.
Significant digital analytics experience, including Google Analytics 4 (GA4), digital attribution, conversion measurement, funnel analytics, and customer journey tracking.
Advanced SQL proficiency for querying, joining, transforming, and validating large enterprise datasets.
Hands-on Power BI or Tableau expertise, including dashboard development, data visualization, and executive reporting.
Proficiency in Python or R for forecasting, regression, predictive modeling, and statistical analysis.
Excellent customer service skills with internal and external customers.
Ability to work with frequent interruptions and changing priorities.
Effective written, verbal, and interpersonal communication skills.
Proficient time management and organizational skills, with the ability to meet established deadlines.

Nice To Haves

Master’s degree in business administration, data science, applied statistics, or a related quantitative field.
15+ years of total experience with 8+ years in analytics leadership.
Experience in private equity-backed consumer services businesses operating on a defined strategic horizon.
Experience in education, childcare, healthcare, or other family services in consumer industries.
Experience with Palantir Foundry, customer data platforms, or ontology-based decision systems.
Experience with marketing mix modeling, incrementality testing, or causal inference at enterprise scale.
Experience partnering with CFO or Finance organizations on enterprise forecasting.
Experience owning analytics strategy during a strategic transaction or liquidity event.
Experience leveraging AI and machine learning to augment analytical workflows, automate insight generation, or improve forecasting accuracy.
Experience using Claude, ChatGPT, or similar AI tools to accelerate analytical workflows, generate insights, automate reporting, and improve productivity.
Working knowledge of revenue recognition, utilization economics, and operational levers driving EBITDA in a multi-brand consumer services business.
Ability to translate complex analytical findings into executive narratives that inform capital allocation and strategic direction.
Ability to defend forecasts, models, and investment cases to executive leadership, CEO, Board, and investor audiences.
Ability to influence enterprise strategy without direct authority across marketing, operations, finance, and product leadership.
Working knowledge of modern analytics platforms, data engineering fundamentals, and buy-versus-build trade-offs.
Ability to develop and retain analytical talent through career progression.
Comfort operating in ambiguous, fast-moving environments where measurement standards are still being established.
Executive communication skills, including the ability to challenge conclusions unsupported by data and identify evidence needed to change a view.

Responsibilities

Develop and execute enterprise-wide analytics strategy across marketing, retention, product, operations, and digital.
Develop enterprise insights to support district manager coaching and care-save strategies for field, customer care, and call center organizations.
Own the voice-of-the-family measurement strategy, including the design, governance, evolution, and reporting of NPS and enrollment surveys; translate family feedback into recommendations and next best actions.
Lead revenue flow-through modeling that connects marketing investment to leads, registrations, enrollments, utilization, and EBITDA, and defend models in forecasting and investment reviews.
Build and maintain the enterprise measurement operating system, including methodology standards, metric definitions, governance frameworks, and reporting cadence.
Rebuild the enterprise analytics function, including its operating model, intake process, prioritization framework, delivery cadence, and quality standards.
Present regularly to the Executive Leadership Team on performance, forecasting, measurement findings, and strategic recommendations.
Build, hire, coach, and scale a multi-tier analytics team; establish career ladders, performance management, and succession planning.
Drive analytics platform strategy and roadmap input, including Fabric EDW evolution, Palantir ontology, data product priorities, and vendor engagement.
Manage senior vendor and consultant relationships, hold delivery partners accountable for measurable outcomes, and ensure Learning Care owns resulting intellectual property, methodology, and data assets.
Perform other duties as assigned.