Sr BI Product Manager
Company: Health Care Service Corporation
Location: IL - Chicago
Salary: $92.7k - $167.5k per year
Type: Full-time
Posted: 2026-10-05
About this role
At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.
Join HCSC and be part of a purpose-driven company that will invest in your professional development.
#
# Job Summary
###
As a Sr BI Product Manager at HCSC, you will play a crucial role in owning and managing one or more BI solutions products. You will operate with a minimal amount of guidance and supervision, serving as the primary owner responsible for translating customer needs into BI solutions products that provide significant business value. Your responsibilities will include understanding the problem, converting into actionable solution, writing technical requirements, prioritizing development, coordinating with stakeholders, and promoting product usage across a broad audience. Additionally, you will be accountable for the successful delivery and implementation of the product. In some cases, you may assist with BI development and data engineering tasks, and you will have an indirect reporting relationship with Analytics consultants and data engineers working on the products. The goal of this role is to deliver BI solutions that can generate insights to the business and make an impact on the organization.
###
Required Job Qualifications:
\* Bachelors degree and 3 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field OR Actuarial credential or Master’s degree and 2 years of work experience in a related quantitative field OR Ph.D. in a related quantitative field"
\* Learning and growth mindset.
\* Customer-focused.
\* Interpersonal, verbal and written communication skills.
\* Must demonstrate proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) ...