Job Description
Insight Global is looking for a Director of Data & Artificial Intelligence for one of our clients. This individual will be responsible for developing and executing the organization's enterprise data, analytics, and AI strategy while driving the adoption of scalable, data-driven solutions that create measurable business value. The ideal candidate will serve as a strategic leader, partnering with both technical and business stakeholders to modernize data capabilities, lead AI initiatives, establish governance standards, and build high-performing teams that accelerate innovation and digital transformation. Additional responsibilities include:
Define and execute the organization's long-term data, analytics, and AI strategy.
Lead the development and deployment of enterprise-wide analytics, machine learning, and AI solutions.
Partner with business leaders to identify high-impact opportunities and prioritize data and AI investments.
Collaborate with data engineering, cloud, and technology teams to build scalable data platforms and analytics capabilities.
Establish and oversee data governance, AI governance, and model lifecycle management processes.
Build, mentor, and lead teams of data professionals, including data scientists, analytics engineers, and AI leaders.
Drive adoption of data-driven decision-making through organizational change management and stakeholder engagement.
Manage relationships with external technology partners, consulting firms, and platform providers.
Communicate strategy, progress, and business outcomes to executive leadership and key stakeholders.
Ensure AI and analytics initiatives align with security, compliance, and responsible AI best practices.
Compensation:
$181,000 to $226,000 per year annual salary.
Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.
Benefit packages for this role include the below:
Medical, Dental, Vision, Prescription Drug plans?
401K with 4% Company Match
Vacation/PTO and 13 paid Holidays
Bonus Program?
FSA/HSA and Dependent Care Programs
Company provided Life, Disability, ADD and Business Travel Insurance
Various No Cost Wellness & Chronic Condition
Management Programs
Various Optional Insurance programs such as legal, identity theft, critical illness, etc.
Tuition Reimbursement?
Career Development and Ongoing Training?
Employee Assistance Program?
Employee Spotlight and Recognition Program
Volunteer Opportunities?
Onsite Fitness Center (vary by location)
Cafeteria and food markets (vary by location)?
Onsite Health Clinic and Pharmacy (vary by location)
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
8+ years of experience in data analytics, AI, or advanced analytics, with at least 5 years in a leadership role
Strong experience delivering Analytics and AI solutions at enterprise scale
Strong understanding of data architecture, cloud platforms, advanced analytics, and AI/ML lifecycle management.
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field - Experience establishing AI, model risk management, and data ethics frameworks
Familiarity with modern data and AI platforms (cloud native analytics, AI platforms, and data governance tools)
Masters Degree in related field
Experience within an automotive or manufacturing background
