LTS Insights Manager, Product Insights

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

At LinkedIn 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 LinkedIn office on select days as determined by the business needs of the team.

We are seeking a highly motivated and experienced Insights Manager to join our team. The ideal candidate will be 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 business objectives into a clear data strategy and roadmap. 
• Prioritize initiatives that drive measurable business impact. 
• Collaborate cross-functionally with Data Science Engineering Insights SMEs and business stakeholders. 

Technical Oversight 

• Guide the team in building 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 and capacity planning. 

Qualifications :

Basic Qualifications:  

• Bachelors degree in Data Science Computer Science or a related field 
• 5 years in data roles (e.g. data analytics data engineering data science) 
• 2 years in a leadership role  

Preferred Qualifications:  

• Experience aligning data initiatives with business strategy 
• Strong analytical data-driven and problem-solving skills 
• Excellent communication and presentation skills  
• Proficiency in data analysis tools and software 
• Masters degree in a related field  
• Experience in the technology or 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 and MLOps 

Suggested Skills:  

• Communication and stakeholder management
• Project management skills 
• Strategic thinking
• Empathetic intelligence in team leadership

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $131000 to $212000.

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 Information :

Equal Opportunity Statement 

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

LinkedIn 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.

If you need a Reasonable Accommodation to search for a job opening apply for a position or participate in the interview process connect with us and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by LinkedIn or (c) consistent with LinkedIns legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice and Compliance Posters for Job Candidates 

Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: Work :

No

Employment Type :

Full-time