Senior Director, Decision Analytics

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Director, Decision Analytics based in the United States.

This executive leadership role offers the opportunity to shape the future of enterprise decision-making through advanced analytics, data science, and strategic insight. The successful candidate will lead a centralized analytics function, transforming how teams leverage data to drive measurable business outcomes. Working at the intersection of business strategy, technology, and operations, this position will influence decisions across marketing, revenue, product, and finance. The role requires a visionary analytics leader who can balance strategic thinking with hands-on technical guidance and team development. This is a high-impact opportunity to build a trusted analytics organization, establish new operating models, and accelerate a data-driven culture. The ideal candidate will thrive in an environment of transformation, collaboration, and innovation while helping shape long-term business growth.

Accountabilities:: The Senior Director, Decision Analytics will oversee the strategy, execution, and evolution of a centralized analytics and data science organization. This role will 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:

The ideal candidate is an experienced analytics leader with strong business judgment, technical depth, and a proven ability to build and scale high-performing teams. This role requires someone who can translate sophisticated data concepts into clear strategies while partnering effectively with executive stakeholders.

12+ years of experience in analytics, data science, business intelligence, or a related field.

5+ years of experience leading analytics or data science teams within a SaaS, subscription-based, or technology-driven organization.

Proven experience hiring, mentoring, and developing teams of managers, analysts, and data scientists.

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.

Ability to operate strategically while maintaining enough technical depth to engage with complex analytical challenges.

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.

Understanding of 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 (New York, California, Washington): $220,000 – $302,500.

Zone 2 (All other United States locations): $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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1