Insight Global is looking for a Director of Data Science, Innovation, and Analytics to join the team of one of its leading Life Insurance customers in Metro Detroit. This agile, empathetic, adaptable analytics leader bridges marketing and data science teams while demonstrating deep data science marketing knowledgeincluding direct mail, digital strategies, customer behavior, campaign execution and optimization, and process automation to develop effective, data-driven decisions. Excelling at multitasking, they seamlessly transition between strategic planning and tactical execution under tight deadlines, effectively communicating complex concepts to diverse audiences. They contribute to the organizational transformation initiatives, lead change management, foster a culture of data-driven decision-making, identify and implement emerging analytics technologies. This role supervises a team of data scientists, analysts, and engineers.
· Specific Responsibilities:
Product Data and Analytics Strategy: Develop and execute data and analytics plans aligned with product and organizational goals.
Predictive Modeling: Lead the creation of customer segmentation and propensity models to enhance marketing effectiveness.
Marketing Analytics: Direct cross-channel campaign analysis, establish KPIs, and optimize marketing ROI.
Cross-functional Collaboration: Serve as the primary liaison between data teams and marketing stakeholders, translating technical insights into actionable business recommendations.
Team Leadership: Mentor and manage Data Scientists, Analysts, and Engineers in a collaborative, innovative environment.
Data Infrastructure: Collaborate with Analytics Engineering to build and maintain robust, compliant data pipelines.
Experimental Design: Implement testing frameworks and A/B experiments to boost customer experience and marketing performance.
Performance Reporting: Develop dashboards and reports to monitor product performance and key business metrics.
Automation Strategy: Spearhead the identification, design, and implementation of automation opportunities, including generative AI, across the data and marketing workflow. Develop intelligent automation solutions that reduce manual effort, increase operational efficiency, and allow the team to focus on high-value strategic activities.
Innovation and Optimization: Review and understand tools in the marketplace that will help with innovation and optimization. Actively seek out new use cases and experiments that will result in organizational transformation and sales and profit improvements.
Compensation: $151k-226k. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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
HR@insightglobal.com. The EEOC "Know Your Rights" Poster is available
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- Recent master's degree in either Statistics, Data Science, etc.
- Minimum 10 years of experience in data science or analytics
Strong expertise leading analytics/data science teams
Strong technical background in predictive modeling, statistics, and data visualization
Extensive experience Agentic AI and ML learning
Strong Python & SQL coding skills
AWS monitoring/deployment cloud platform experience
§ Hands-on experience with AWS services like S3, Lambda, and SageMaker.
Experience with Data Engineering orchestration tools
Expertise in Power BI reporting/visualizations
Outstanding people skills
§ Attitude, motivation, communication skills
Insurance industry experience
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.