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Staff Program Manager, Customer Insights Value Innovation and Scale-Support Team - LMS

Company 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.

Job Description

This position can be performed in New York City, Sunnyvale, San Francisco or Chicago depending upon which location the applicant chosen for the role is currently residing. 

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. 

At LinkedIn we believe that marketing is what accelerates business growth and that nearly all the levers of business growth are driven by marketing. Because of this, we are passionate about helping marketers unlock growth for their companies and seeing them thrive. We work with our customers to empower them to make more effective marketing and business decisions with insights leveraging one of the richest proprietary data sets in the world.    

Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in advancing our vision to create economic opportunity for every member of the global workforce by helping organizations thrive and grow through marketing excellence. LinkedIn Marketing Solutions (LMS) Customer Insights team is seeking a dynamic, visionary senior program manager with a strong technical background and proven expertise in marketing analytics innovation to join our global Value Innovation and Scale Support team. This team sits within the LMS Customer Science organization and is responsible for developing and scaling leading-edge insights solutions to support our sales teams with deepening strategic relationships with our marketing customers and driving commercial outcomes powered by the experiences of LinkedIn’s 1B+ members spanning over 200 countries and territories.   

Key responsibilities for this role include data solutions innovation aligned to new platform products, features and associated measurement solutions using advanced analytics and technical solutions including data clean rooms to deliver world-class marketing and business intelligence to unlock new paths for market differentiation and growth. Realizing the vision for this role will require developing and managing a portfolio of insights solutions and implementing sustainable support models to enable LMS sales teams to better nurture and grow existing customers through insights innovation. The ideal candidate is customer-centric and project-focused, consultative, and thrives in a collaborative environment with team members and cross-function partners in Data Science and Data Engineering.  

Responsibilities:  

Technical Solutions Innovation & Management 

  • Lead Customer Insights solution innovation focusing on new data solutions design, development and implementation leveraging advanced analytics, data modeling techniques and data clean room technology  
     

  • Drive alignment, prioritization, risk assessments and issues mitigation across all insights innovation initiatives within portfolio, including management of initiative roadmaps, project scopes, and status reporting 
     

  • Lead implementation strategy and ongoing customer support for data cleanroom solutions including driving clean room solutions adoption, utilization and optimization aligned to customers’ media intelligence and growth objectives 

  • Advise data clean room and engineering partners on prioritization of cleanroom features, bug fixes and technical enhancements  

Team Leadership  

  • Lead teams to consistently deliver organization-shaping initiatives 
     

  • Design and implement new ways of working that increase Customer Insights impact on the business and accelerate time to value 
     

  • Create a collaborative work environment by fostering knowledge sharing, constructive feedback, transparency, accountability and continuous learning 
     

  • Coach and mentor team members, in best-practice of modern planning and execution -- modeling LinkedIn’s culture and values, to ensure execution balances process rigor with solution-driven agility to achieve commercial outcomes 

 

Stakeholder Partnerships  

  • Work with both technical and non-technical stakeholders to lead in capturing complex business requirements, determining solution prioritization and evaluating customer needs and resourcing 
      

  • Establish strong partnerships with Sales, Product, Product Marketing, Engineering and Data Science teams to advance solutions innovation and adoption goals. 
     

  • Be a world-class collaborator who can build trust, influence and co-create effectively with a diverse group of partners across the global Customer Insights and broader Customer Science organizations.   

 

Commercial Impact 

  • Act as a trusted advisor to sales partners and customers, offering expertise on clean room and other advanced insights capability areas, query development, and optimization techniques.  
     

  • Ensure all intelligence innovations align with key commercial objectives, equipping sales teams with insights that support revenue expansion, relationship-building, and strategic advisory capabilities 
     

  • Lead in the development of new and innovative Customer Insights assets that demonstrate the value of new platform features and ad formats, while expanding the business use cases for LinkedIn’s first-party data  
     

  • Leverage marketing and technical subject matter expertise to meaningfully influence and impact key business priorities and customer outcomes 

Qualifications

Basic Qualifications   

  • 10+ years of experience in digital media analytics, marketing analytics, media consulting or related industry 

  • 5+ years of technical data analytics project and/or program management experience in customer-facing roles driving projects, consulting, and/or executing on deliverables 

  • Experience in advanced SQL, python, data modelling, marketing analytics methodologies, and databases. 

  • Experience with CRM, identity solutions data cleanroom technologies (e.g., Google Ads Data Hub, LiveRamp, Snowflake) 

  • B.A/B.S. in a data science, computer science, engineering, mathematics or other quantitative field, or equivalent practical experience 

Preferred Qualifications  

  • M.S. or above in data science, computer science, engineering, mathematics or her quantitative field or equivalent practical experience 

  • 15+ years of experience in digital media analytics, marketing analytics, media consulting or related industry  

  • 7+ years of technical data analytics project and/or program management experience in customer-facing roles driving projects, consulting, and/or executing on deliverables  

  • Strong analytical and adaptive problem-solving skills, with a focus on driving actionable insights from complex data sets 

  • Strong commercial and customer success orientation, with proven track record developing intelligence solutions aligned to commercial outcomes 

  • Expertise in advanced SQL, python, data modelling, marketing analytics methodologies, and database 

  • Experience with CRM, identity solutions data cleanroom technologies (e.g., Google Ads Data Hub, LiveRamp, Snowflake)  

  • Experience with Large Lan Gen-AI techniques  

  • Excellent business judgment, strategic thinking and solutions orientation 

  • Experience in B2B marketing analytics and marketing intelligence, or B2B consulting  

  • Experience with CRM platform technology and data structures 

  • Experience working directly with engineering and technical teams, as well as individual contributors 

  • Excellent communication, presentation skills and experience presenting to executive stakeholders and influencing senior leadership 

  • Experience working with offshore analyst teams 

Suggested skills  

  • Strategic Leadership 

  • Technical Program Management 

  • Data-driven Consulting 

  • Data Storytelling 

  • Executive Communications 

  • Stakeholder Management 

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $148,000 to $230,000. 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 https://careers.linkedin.com/benefits.    

Additional Information

Equal Opportunity Statement

LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: EEO Statement_2020 - Signed.pdf.

Please reference the following information for more information:  https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and

 https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf  for more information.

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 [email protected] 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:

  • 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 LinkedIn's 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: https://lnkd.in/paytransparency.

Global 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: https://legal.linkedin.com/candidate-portal.

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Average salary estimate

$189000 / YEARLY (est.)
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$148000K
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What You Should Know About Staff Program Manager, Customer Insights Value Innovation and Scale-Support Team - LMS, LinkedIn

LinkedIn is on the lookout for an innovative and experienced Staff Program Manager to join our Customer Insights Value Innovation and Scale-Support Team, specifically within the Marketing Solutions (LMS) section. Based in Chicago, IL, this role is integral in leveraging our vast dataset to drive impactful marketing insights for our valued customers. We're passionate about helping marketers make informed decisions that accelerate business growth, and we believe that every member can contribute to this vision. As a Staff Program Manager, you will lead the charge in developing cutting-edge analytics solutions that empower our sales teams and enhance customer relationships. Your duties will range from innovating technical solutions using advanced analytics and data modeling, to leading cross-functional teams to implement these solutions effectively. Collaboration is key, as you will work closely with various stakeholders including Sales, Data Science, and Engineering teams to ensure our insights are actionable and directly contribute to our customers' success. If you're someone who thrives in a dynamic environment, enjoys tackling complex challenges, and has a knack for shepherding innovative projects from conception to implementation, we want to hear from you! With a hybrid work option, you can choose the setting that empowers you to do your best work, whether from the comfort of your home or in the office. Join us at LinkedIn to make a lasting impact in the world of marketing analytics.

Frequently Asked Questions (FAQs) for Staff Program Manager, Customer Insights Value Innovation and Scale-Support Team - LMS Role at LinkedIn
What does a Staff Program Manager at LinkedIn do?

A Staff Program Manager at LinkedIn plays a crucial role in spearheading innovative analytics solutions for the Customer Insights team within Marketing Solutions (LMS). They lead efforts to design and implement data-driven insights, ensuring these strategies align with customer needs and market trends while fostering strong collaboration across multiple internal teams.

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How can I apply for the Staff Program Manager position at LinkedIn?

To apply for the Staff Program Manager role within LinkedIn's Customer Insights team, visit our career page, where you can find detailed job descriptions and an application portal. Make sure to tailor your resume to highlight your relevant experiences in digital media and analytics.

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What qualifications are required for a Staff Program Manager at LinkedIn?

Candidates for the Staff Program Manager position at LinkedIn should have a strong foundation in digital media analytics and at least 10 years of experience in roles focused on marketing or media consulting. Technical expertise in tools such as SQL, Python, and data modeling is essential, along with strong leadership and project management skills.

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What benefits does LinkedIn offer for the Staff Program Manager position?

LinkedIn is committed to the well-being of its employees, offering a competitive compensation package for the Staff Program Manager role, alongside benefits such as flexible work options, comprehensive healthcare coverage, professional development opportunities, and a positive work culture that fosters inclusion and trust.

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What is the working environment like for a Staff Program Manager at LinkedIn?

The working environment for a Staff Program Manager at LinkedIn is collaborative and flexible, promoting a hybrid work model that allows for both remote work and in-office collaboration. This position supports a culture of trust, care, and continuous learning, empowering employees to thrive.

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What skills are necessary for success as a Staff Program Manager at LinkedIn?

Success in the Staff Program Manager role at LinkedIn requires strong analytical skills, the ability to drive project management and innovation, and exceptional communication abilities. Familiarity with marketing analytics methodologies and the capacity to build partnerships with diverse teams are also key components for effective performance.

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Can you describe the team dynamics for the Staff Program Manager role at LinkedIn?

As a Staff Program Manager at LinkedIn, you'll be part of a dynamic team focused on driving insights innovation for marketing solutions. The team values collaboration, knowledge sharing, and accountability, offering a supportive environment where everyone is encouraged to contribute their unique perspectives to achieve collective goals.

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Common Interview Questions for Staff Program Manager, Customer Insights Value Innovation and Scale-Support Team - LMS
What experience do you have in digital media analytics?

When discussing your experience in digital media analytics, highlight specific projects you've led or participated in, focusing on tools you used such as SQL or Python. Detail how your analytical skills contributed to business growth or marketing strategies.

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How have you implemented data solutions in past roles?

In answering this question, describe your approach to designing and implementing data solutions, including any challenges faced and how you overcame them. Provide examples of metrics used to measure success.

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Can you discuss a successful project you managed?

Share a detailed account of a project where you were responsible for key outcomes. Focus on your specific role, the strategies you employed, and the impact those results had on your team or company.

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How do you prioritize tasks when managing multiple projects?

Discuss your method for prioritizing tasks, whether it's through a project management tool or a personal system. Explain how you assess urgency and alignment with business objectives to ensure timely project delivery.

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Describe your experience collaborating with cross-functional teams.

Explain how you've successfully worked with various departments, highlighting specific examples of how that collaboration led to innovative solutions. Emphasize communication techniques that facilitate teamwork.

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What strategies do you use for stakeholder management?

Share techniques you've employed to maintain strong relationships with stakeholders, such as regular updates, setting clear expectations, or gathering feedback. Providing examples of overcoming any challenges will illustrate your competencies.

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How do you approach data storytelling?

Discuss your methodology for translating complex data into actionable insights. Include how you tailor your presentation style to different audiences to ensure the information resonates with them effectively.

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How do you stay updated on industry trends?

Articulate your strategies for staying informed about industry trends, such as attending webinars, participating in professional groups, or reading industry publications. Emphasize how this knowledge informs your work.

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What tools or technologies are you proficient in?

Provide a rundown of the tools and technologies you are familiar with, particularly those relevant to the Staff Program Manager role. Highlight any certifications or training you've undergone that enhances your qualifications.

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What is your approach to innovation in analytics?

Describe how you foster an environment of innovation in analytics, using examples of how you've encouraged creativity in your past roles. Discuss any processes you put in place to test and scale innovative ideas.

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Our mission is to create economic opportunity for every member of the global workforce and this vision connects our more than 16,000 employees in dozens of offices across five continents. It inspires us to invest in our talent, support career grow...

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November 25, 2024

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