This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director of Data, Business Intelligence, and AI in the United States.
This leadership role offers the opportunity to shape and execute an organization-wide strategy for data, business intelligence, and artificial intelligence. The Director will oversee the design, deployment, and governance of data platforms, BI tools, and AI/ML initiatives that drive operational efficiency, predictive insights, and automation across the business. You will lead a multidisciplinary team of data engineers, analysts, and scientists, fostering a culture of innovation, experimentation, and data-driven decision-making. This position combines strategic leadership with hands-on oversight of enterprise data infrastructure, ensuring scalable, secure, and high-quality data solutions. The ideal candidate thrives in a fast-paced, complex environment, translating technical expertise into clear business impact and actionable insights.
Accountabilities:
- Develop and implement a comprehensive enterprise strategy for data, business intelligence, and AI aligned with organizational goals.
- Lead the creation and management of a Data Governance Council to ensure data integrity, compliance, and transparency.
- Oversee enterprise BI platforms, cloud analytics environments, and unified data pipelines for accurate and timely reporting.
- Drive AI and machine learning initiatives to optimize operations, forecasting, logistics, pricing, and asset utilization.
- Establish and enforce AI governance frameworks for ethical, responsible, and secure use of technologies.
- Build, mentor, and lead a high-performing data and analytics team focused on innovation, collaboration, and continuous improvement.
- Partner cross-functionally to translate complex data concepts into actionable business insights and strategic recommendations.
Requirements
- 10+ years of progressive experience in data analytics, business intelligence, or enterprise data management.
- 5+ years of leadership experience building and scaling high-performing data and BI teams.
- Proven success implementing AI, machine learning, or automation initiatives in an enterprise setting.
- Strong expertise with modern data stacks (ETL, cloud data warehouses, APIs) and BI tools, including experience with Databricks, Delta Lake, Apache Spark, MI Flow, or SQL Analytics.
- Proficiency in SQL, data modeling, and data governance best practices.
- Exceptional business acumen with the ability to connect data strategy to operational execution.
- Experience in healthcare, manufacturing, logistics, or service industries preferred.
- Strong interpersonal and communication skills to influence stakeholders at all levels.
Benefits
- Competitive total compensation: $151,129–$225,147, depending on experience, skills, certifications, and location.
- Comprehensive health, dental, and vision insurance.
- Retirement savings plans with company match contributions.
- Paid vacation, sick time, and wellness resources.
· Life insurance coverage.
- Professional development and career growth opportunities.
- Remote flexibility and support for work-life balance.
Jobgether Talent Matching Process
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
United States
Canada only
Germany only
Spain only
United Kingdom only