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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! 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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Director, Data & Analytics
Location
United States
Posted
74 days ago
Salary
$190K - $210K / year
Seniority
Lead
No structured requirement data.
Job Description
Director, Data & Analytics
Jobgether
Role Description This leadership role offers the opportunity to define and execute a comprehensive data strategy that drives measurable business impact in a high-growth digital media environment. You will lead a cross-functional analytics organization, ensuring data quality, governance, and actionable insights that inform product, content, and subscription strategies. The role combines strategic oversight with hands-on influence, guiding the design of modern data infrastructure, metrics, and analytics practices. You will collaborate closely with executive, product, and engineering teams to translate complex data into clear, actionable recommendations. With the authority to shape data culture and scale a high-performing team, this position will directly impact organizational growth, customer engagement, and operational efficiency. The environment is fast-paced, collaborative, and mission-driven, ideal for a data leader who thrives on innovation, mentorship, and delivering business value from insights. - Develop and lead the enterprise-wide data strategy, ensuring alignment with business growth objectives and strategic priorities - Collaborate with executive, product, and engineering teams to identify data requirements, deliver robust solutions, and provide actionable insights - Establish and maintain data governance, quality standards, and consistent definitions to build trust and reliability in analytics across the organization - Lead, mentor, and scale a diverse team of data professionals, fostering a culture of continuous learning and data literacy - Oversee analytics practices across the organization, including reporting, metrics, and real-time event data analysis to support decision-making - Serve as a strategic advisor on the use of data to inform content, subscription, and business strategies - Drive adoption of modern data technologies, including data warehousing, ETL/ELT processes, and advanced analytics tools Qualifications - 8+ years of progressive experience in data-related roles (Data Engineering, Data Science, Analytics), including 2+ years in senior leadership or management overseeing multiple data functions - Proven success in defining and executing enterprise-level data strategy and roadmap in a high-growth or complex organization - Strong expertise across the analytical stack, with experience in modern data warehousing (Snowflake, BigQuery), ETL/ELT practices, and real-time data environments - Demonstrated ability to translate complex data into actionable insights and recommendations for executives and non-technical stakeholders - Experience building, mentoring, and scaling high-performing, cross-functional data teams - Excellent communication, stakeholder management, and problem-solving skills - Prior experience with high-volume, subscription-based or digital media analytics is preferred - Strong technical fluency and understanding of data governance, quality, and analytics best practices Benefits - Competitive base salary ($190,000–$210,000 annually, DOE) - Potential eligibility for variable pay such as annual bonus and restricted stock - Comprehensive medical, dental, and vision benefits - 401(k) plan with employer matching - Paid vacation, sick leave, and parental leave - Tuition reimbursement and professional development opportunities - Flexible spending accounts (FSA) and other wellness benefits - Collaborative, mission-driven work environment with opportunities for career growth Company Description
Job Requirements
- 8+ years of progressive experience in data-related roles (Data Engineering, Data Science, Analytics), including 2+ years in senior leadership or management overseeing multiple data functions
- Proven success in defining and executing enterprise-level data strategy and roadmap in a high-growth or complex organization
- Strong expertise across the analytical stack, with experience in modern data warehousing (Snowflake, BigQuery), ETL/ELT practices, and real-time data environments
- Demonstrated ability to translate complex data into actionable insights and recommendations for executives and non-technical stakeholders
- Experience building, mentoring, and scaling high-performing, cross-functional data teams
- Excellent communication, stakeholder management, and problem-solving skills
- Prior experience with high-volume, subscription-based or digital media analytics is preferred
- Strong technical fluency and understanding of data governance, quality, and analytics best practices
Benefits
- Competitive base salary ($190,000–$210,000 annually, DOE)
- Potential eligibility for variable pay such as annual bonus and restricted stock
- Comprehensive medical, dental, and vision benefits
- 401(k) plan with employer matching
- Paid vacation, sick leave, and parental leave
- Tuition reimbursement and professional development opportunities
- Flexible spending accounts (FSA) and other wellness benefits
- Collaborative, mission-driven work environment with opportunities for career growth
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