Senior Director, Decision Analytics

Accountabilities

• Oversight the strategy, execution, and evolution of a centralized analytics and data science organization.
• Establish best practices, develop high-performing teams, and serve as a strategic partner to executive stakeholders by turning complex data into actionable business decisions.
• Lead and manage a centralized Decision Analytics function supporting multiple business areas, including marketing, revenue, product, and finance.
• Define the vision, operating model, priorities, and success metrics for the analytics and data science organization.
• Drive the evolution from reactive reporting toward proactive, predictive, and insight-driven decision-making.
• Partner with senior leaders across the organization to identify business challenges and deliver high-impact analytical solutions.
• Build strong relationships with stakeholders while ensuring analytics resources are aligned with the highest-value opportunities.
• Lead and develop a team of managers, analysts, and data scientists by fostering curiosity, collaboration, and technical excellence.
• Provide hands-on leadership by supporting complex analyses, modeling challenges, and strategic problem-solving when needed.
• Partner with data engineering and enablement teams to ensure analytical solutions are supported by scalable, reliable data foundations.
• Champion AI adoption, automation, and innovative approaches that enhance analytics capabilities and efficiency.
• Lead change management initiatives as the organization transitions toward a more mature centralized analytics model.
• Promote a culture focused on business impact, proactive partnership, and measurable outcomes.

  Requirements

  • Experienced analytics leader with strong business judgment, technical depth, and a proven ability to build and scale high-performing teams.
  • Proven experience leading analytics or data science teams within a SaaS, subscription-based, or technology-driven organization.
  • Demonstrated success scaling centralized or hybrid analytics functions supporting multiple business units.
  • Strong understanding of SaaS business metrics, including ARR growth, retention metrics, customer acquisition efficiency, lifetime value, and product engagement.
  • Experience leading organizational change, analytics transformations, or operating model improvements preferred.
  • Familiarity with modern data ecosystems, including SQL, Python, dbt, cloud data warehouses, and business intelligence platforms.
  • Experience with machine learning concepts, predictive modeling, experimentation, and AI-driven analytics solutions.
  • Strong communication, collaboration, and stakeholder management skills.
  • Ability to influence executive decision-making through data-driven insights and strategic recommendations.

    Benefits

    • Competitive annual compensation range: Zone 1 ($220,000 - $302,500), Zone 2 ($200,000 - $275,000).
    • Flexible remote work opportunities across eligible United States locations.
    • Comprehensive medical, dental, and vision insurance coverage for employees and eligible dependents.
    • Free access to mental health support services, including coaching, therapy sessions, and wellness resources.
    • 401(k) retirement plan with employer matching contributions.
    • Employer-paid life and disability insurance.
    • Flexible paid time off policy with additional company-wide rest and recharge days.
    • Up to 16 weeks of paid parental leave.
    • Annual lifestyle spending account of $1,000 to support physical, mental, and financial well-being.
    • Home office support, including a one-time setup stipend and monthly internet reimbursement.
    • Paid volunteer time and charitable donation matching opportunities.
    • Additional financial wellness resources, commuter benefits, childcare and eldercare support, and discounted pet insurance options.