Senior Manager, Product Experience Insights Position Available In New York, New York

Job Order Number:

DG0217271

Job Title:

Senior Manager, Product Experience Insights

Company:

LinkedIn Location:

New York, NY

Salary:

Education:

Information Not Provided

Experience:

Information Not Provided

Hours:

Duration:

Full Time, Regular

Shift:

Description:

 LinkedIn 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._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 LinkedIn’s 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 LinkedIn’s 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

• Basic Qualifications:

• + Bachelor’s 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