×
Register Here to Apply for Jobs or Post Jobs. X

LTS Insights Manager, Product Insights

Job in Springfield, Sangamon County, Illinois, 62777, USA
Listing for: LinkedIn
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering
Salary/Wage Range or Industry Benchmark: 131000 - 212000 USD Yearly USD 131000.00 212000.00 YEAR
Job Description & How to Apply Below

Linked In is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

This role will be based in Atlanta, Bellevue, Chicago, Carpinteria, Detroit, New York City, Omaha, Sunnyvale, San Francisco, or Washington, D.C.

At Linked In, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a Linked In office on select days, as determined by the business needs of the team.

We areseekinga highly motivated and experienced Insights Manager to join our team. The ideal candidate willbe responsible for leading a team of Insights Program Managers and Data Engineers to transform our operations and data strategy for Scaled Insights.

This role will lead a high-performing data team that bridges strategic data initiatives with hands-on technical execution. This role ensures alignment between business goals and data capabilities, fostering a culture of innovation, accountability, and continuous learning.

Responsibilities

Strategic Leadership

  • Translate businessobjectivesinto a clear data strategy and roadmap.
  • Prioritize initiatives that drive measurable business impact.
  • Collaborate cross-functionally with Data Science, Engineering,InsightsSMEsand business stakeholders.
Technical Oversight
  • Guide the teaminbuilding scalable data pipelines, AI infrastructure, and monitoring platforms.
  • Ensure best practices in data governance, quality, and architecture.
  • Stay current with emerging technologies and assess their strategic fit.
Team Development
  • Mentor and coach Insights Program Managers and Data Engineers.
  • Foster a culture of curiosity, experimentation, and continuous improvement.
  • Promote diversity of thought and inclusive collaboration.
Operational Excellence
  • Hold team accountable to True North Metrics (TNM) (e.g.Jira and Refresh SLAs)
  • Establish KPIs and OKRs to track team performance and project outcomes.
  • Drive agile practices and iterative delivery.
  • Manage resource allocation andcapacityplanning.
Basic Qualifications
  • Bachelor’s degree in, Data Science,Computer Scienceora related field
  • 5+ years in data roles (e.g., data analytics, data engineering, data science)
  • 2+ years ina leadership role
Preferred Qualifications
  • Experience aligning data initiatives with business strategy
  • Strong analytical, data-drivenand problem-solving skills
  • Excellent communication and presentation skills
  • Proficiency in data analysis tools and software
  • Master's degree in a related field
  • Experience in the technologyor software industry
  • Knowledge of advanced statistical methods and data visualization techniques
  • Data infrastructure design and Architecture
  • Proficient in SQL, Python, and data platforms (e.g.Hadoop, HDFS)
  • Familiarity with data modeling, ETL/ELT, and modern data stack tools (e.g.,dbt, Airflow, Snowflake).
  • Understanding of AI and Machine Learning lifecycle andMLOps
Suggested Skills
  • Communication and stakeholder management
  • Project management skills
  • Strategic thinking
  • Empatheticintelligencein team leadership

Linked In is committed to fair and equitable compensation practices. The pay range for this role is $131,000 to $212,000.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer.

Linked In considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Reasonable Accommodations

Linked In is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable…

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary