Director IT Data & Analytics

The Director IT Data & Analytics role is currently being managed by a partner company. They are seeking a seasoned data and analytics professional based in the United States.

About the role

As a leader in data and analytics, you will be responsible for defining and executing a comprehensive data strategy that aligns with the organization’s long-term goals. You will oversee data engineering, reporting, business intelligence, and analytics solutions, collaborating with cross-functional teams to enhance data governance, decision-making processes, and organizational growth.

Responsibilities

• Lead the enterprise data and analytics strategy, ensuring alignment with business objectives and organizational priorities.
• Oversee data engineering, reporting, dashboards, semantic models, curated datasets, and analytics platforms that support informed decision-making.
• Partner with business leaders, IT teams, compliance, and operational stakeholders to identify high-value initiatives and deliver impactful data solutions.
• Establish and promote strong data governance practices, including data quality, stewardship, metadata management, KPI standardization, and lifecycle management.
• Direct agile delivery processes, manage project priorities, maintain transparent backlogs, and ensure timely execution across multiple initiatives.
• Build, mentor, and develop multidisciplinary teams of data engineers, analysts, and visualization specialists while supporting recruitment and professional growth.
• Identify delivery risks, recommend process improvements, and drive continuous enhancements to data standards, reporting capabilities, and analytics best practices.

Requirements

• Bachelor's degree in Business, Information Systems, Computer Science, Statistics, or a related discipline.
• 8-10 years of progressive leadership experience in data engineering, analytics, business intelligence, or enterprise technology environments.
• Strong experience leading and coaching technical teams while managing complex enterprise data initiatives.
• Hands-on knowledge of cloud data platforms, modern data warehouses or lakehouses, data marts, semantic models, and scalable data pipelines.
• Excellent analytical, communication, stakeholder management, prioritization, presentation, and problem-solving skills, with the ability to influence both technical and executive audiences.

Benefits

• Remote-first work environment with flexible working arrangements.
• Comprehensive medical, dental, and vision insurance options.
• Life and disability insurance coverage.
• Flexible Spending Accounts (Healthcare, Dependent Care, Transportation, Parking) and Health Savings Account options.
• Competitive 401(k) plan with employer matching.
• Generous paid time off program, including 20-25 days of PTO based on role and tenure.
• Nine paid company holidays and paid family leave.
• Ongoing learning, professional development, career advancement opportunities, and employee recognition programs.

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.

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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.