drjobs Senior Manager, Product Experience Insights

Senior Manager, Product Experience Insights

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1 Vacancy
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Job Location drjobs

Sunnyvale, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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. This role can be based in San Francisco CA Sunnyvale/Mountain View CA Chicago IL Omaha NE or New York City NY.
 

LinkedIn is searching for a passionate Senior Manager to lead our Insights team within the Product Experience Operations organization. This person will play a key strategic role by leading a team of data-driven problem solvers focused on identifying areas of opportunity for LinkedIns Product Experience Operations teams through data-driven analytics programs and self-serve tooling. They will be responsible for partnering across the Product Experience Operations team to review opportunities to scale key analyses used to drive product excellence and customer / member engagement. They will also be responsible for proactively surfacing insights and recommendations to Product Leaders to influence roadmap and strategy. This is a unique opportunity to partner with leadership and cross-functional organizations to help deliver a best-in-class experience for all of LinkedIns members. 

Responsibilities:

  • Inspire and lead a team of Insights Analysts to do their best work through active development and coaching 
  • Effectively source interview and hire a strong team that holds a very high standard in everything they do
  • Work with senior leadership to define and execute on the Insights roadmap (programs analyses and tools). 
  • Equip our Product Experience Operations teams with the insights and tools they need to deliver exceptional products and services to all members and customers
  • Lead analytical efforts in an unstructured environment to identify operational insights and improve decision-making across various stakeholders
  • Provide methodology & measurement for new product quality metrics
  • Develop AI tooling to simplify execution of key repetitive workflows & accelerate team impact
  • Manage cross-functional relationships and drive strategy in partnership with Data Science Product Support and more
  • Develop a strong partnership and execution with Data Science and Engineering to ensure foundational data and AI tooling are available and for Insights tools and analyses
  • Scale our data infrastructure to connect the signals we have across our members and customers including but not limited to: customer support cases social media mentions behavioral data on the platform and more
  • Prepare and communicate executive level presentations

Qualifications :

Basic Qualifications:

  • Bachelors Degree in Computer Science Math Statistics Analytics Business or other technical or quantitative field
  • 7 years experience in strategy & analytics data science consulting or other similar fields
  • 3 years experience of people leadership managing direct reports

Preferred Qualifications:

  • Ability to work in a fast-paced environment 
  • Deep knowledge of AI and its applications
  • Passion for developing high-performing teams and individuals and developing their careers 
  • Demonstrated excellence in data analytics especially in managing analytical teams 
  • Education or professional exposure to big data and quantitative modeling 
  • Excellent communication presentation skills and experience presenting to executive stakeholders 
  • A strong understanding of sales organizations and sales processes 
  • Proficiency in some subset of SQL Presto Hive Pig Python Tableau R 
  • A passion for scalingmaking everything the team touches much bigger and more impactful 
  • Creative interest in explaining packaging and visualizing data for different audiences 
  • Ability to work effectively in cross-functional teams ranging from sales to data engineering 
  • Intellectual curiosity and strong work ethic 
  • Hands-on experience with enterprise or consumer product development

Suggested skills:

  • People Leadership
  • Strategy
  • Analytics
  • SQL
  • Tableau 

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $148000 to $230000. 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 at and describe the specific accommodation requested for a disability-related limitation.

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 accommodations include but are not limited to:

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 for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :

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Employment Type :

Full-time

Employment Type

Full-time

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