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Job Description

Insight Global is looking for Data Architects to join the team of one of its leading Life Insurance customers in Metro Detroit. You will design, build, and automate scalable data pipelines to support marketing analytics. You will collaborate with data scientists, analysts, and marketing teams to prepare data, engineer features, and implement business data automation best practices. This role requires strong Python, SQL, and ML skills, experience with modern data architectures, and a passion for optimizing data workflows and tech stack. We are looking for a technically skilled, self-motivated, and team-oriented individual who thrives in a fast-paced environment and sees the big picture. The ideal candidate is curious, resilient, optimistic, and takes ownership while collaborating across teams. You should be passionate about solving complex data challenges and turning them into valuable business insights, with a commitment to continuous learning and innovation.

• Specific Responsibilities:

Develop and automate ETL/ELT pipelines for marketing analytics.

Prepare and clean data for modeling, ensuring availability for ML workflows.

Implement ML engineering solutions for model deployment and monitoring.

Optimize data storage, retrieval, and transformation processes.

Leverage AWS services (S3, Lambda, SageMaker) for data and ML workflows.

Build and maintain Power BI Data Flows for seamless data integration.

Design automated testing frameworks for data validation and transformation logic

Optimize data processes and for efficiency and scalability through intelligent automation

Create automated monitoring and alerting systems for data quality and pipeline performance

Collaborates effectively across organizational boundaries with a solutions-oriented attitude

Exhibits strong social awareness to navigate complex organizational dynamics when implementing cross-functional data systems

Design and implement process automation solutions to improve end-to-end operational efficiency and scalability

Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements.

Compensation: $147k-221k. 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 [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

To 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

- Bachelors degree in Computer Science, Statistics, Mathematics, or related field

- Minimum 7+ years in Data Analytics

• Extensive experience Agentic AI and ML learning

• Solid experience in automating ML pipelines/MLOps

• Solid background in statistical analysis

• Expertise in modeling algorithms

• 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 - Apache Airflow experience

- Insurance industry experience

- Marketing/marketing analytics domain experience

Recent master's degree in either Statistics, Data Science, etc. null

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].