Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Staff Program Manager, Customer Insights Value Innovation and Scale-Support Team - LMS image - Rise Careers
Job details

Staff Program Manager, Customer Insights Value Innovation and Scale-Support Team - LMS - job 1 of 2

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.

LinkedIn Glassdoor Company Review
4.1 Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon
LinkedIn DE&I Review
No rating Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon
CEO of LinkedIn
LinkedIn CEO photo
Ryan Roslansky
Approve of CEO

Average salary estimate

$189000 / YEARLY (est.)
min
max
$148000K
$230000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Staff Program Manager, Customer Insights Value Innovation and Scale-Support Team - LMS, LinkedIn

Are you ready to take your career to the next level? LinkedIn is seeking a dynamic Staff Program Manager for our Customer Insights Value Innovation and Scale-Support Team in San Francisco, CA. This role is perfect for those who thrive in a collaborative environment and have a passion for marketing analytics innovation. Imagine leading initiatives that leverage LinkedIn’s vast data resources to help organizations make smarter marketing decisions and achieve growth. You'll work closely with sales teams and other cross-functional partners, focusing on developing and scaling cutting-edge insights solutions that empower our customers. Your expertise in technical data analytics will be crucial as you drive alignment across multiple projects and ensure the successful implementation of innovative data solutions, including advanced analytics frameworks and data clean rooms. We're looking for someone who can create a culture of teamwork and shared learning while coaching others in best practices for planning and execution. You'll act as a trusted advisor and have the opportunity to influence commercial outcomes positively. If you have 10+ years of experience in digital media analytics and a blend of technical and managerial skills, this could be the dream job for you. Join us at LinkedIn and be a key player in transforming marketing through exceptional insights and solutions.

Frequently Asked Questions (FAQs) for Staff Program Manager, Customer Insights Value Innovation and Scale-Support Team - LMS Role at LinkedIn
What are the main responsibilities of the Staff Program Manager at LinkedIn?

As a Staff Program Manager on the Customer Insights Value Innovation and Scale Support Team at LinkedIn, you will be responsible for leading customer insights solution innovation and managing multiple initiatives. This include alignment and prioritization of objectives, advising engineers on cleanroom feature developments, and fostering collaborations across Sales, Product, and Data Science teams to enhance actionable insights for marketing analytics.

Join Rise to see the full answer
What qualifications are needed for the Staff Program Manager position at LinkedIn?

To qualify for the Staff Program Manager role at LinkedIn, candidates should possess at least 10 years of experience in digital media analytics or marketing analytics, along with 5 years of technical data analytics project management experience in customer-facing roles. Familiarity with advanced SQL, Python, data modeling methodologies, and data cleanroom technologies is essential. A Bachelor's degree in a quantitative field is required, while a Master's degree is preferred.

Join Rise to see the full answer
How can the Staff Program Manager at LinkedIn contribute to business growth?

The Staff Program Manager at LinkedIn plays a vital role in business growth by developing innovative insight solutions that drive customer success and support sales relationships. By utilizing advanced analytics and cutting-edge data solutions, you will help unlock new market differentiators that directly contribute to the commercial objectives of the company, making an impact on revenue expansion and strategic advisory capabilities.

Join Rise to see the full answer
What kind of work environment can one expect as a Staff Program Manager at LinkedIn?

LinkedIn fosters a hybrid work environment, so Staff Program Managers can choose to work from home or the office based on their preference and team needs. The company promotes collaboration, transparency, and continuous learning, making for an inclusive and supportive workplace culture. Employees are encouraged to find passion in their work and contribute to innovative projects that drive the company forward.

Join Rise to see the full answer
What skills are essential for the Staff Program Manager position at LinkedIn?

Essential skills for the Staff Program Manager role at LinkedIn include strategic leadership, technical program management, data-driven consulting, and executive communication. A strong analytical mindset with the ability to derive actionable insights from complex datasets and the capability to collaborate effectively across various teams to achieve shared goals are critical for success.

Join Rise to see the full answer
Common Interview Questions for Staff Program Manager, Customer Insights Value Innovation and Scale-Support Team - LMS
Can you describe a time when you successfully led an innovation project?

In responding to this question, focus on detailing the project's scope, your specific role, the methodologies you employed, and the impact of the innovation on the business outcomes. Highlight any challenges faced and how you overcame them, emphasizing collaboration with cross-functional teams.

Join Rise to see the full answer
How do you prioritize competing projects in your role?

Articulate a systematic approach you use for prioritization, such as assessing business impact, urgency, and resource availability. Discuss your experience with stakeholder communication to ensure alignment and expectations throughout the project lifecycle.

Join Rise to see the full answer
What experience do you have with data clean room technologies?

Be prepared to discuss specific platforms and technologies you've used, such as Google Ads Data Hub or Snowflake. Share examples of how you utilized these technologies to drive actionable insights and enhance marketing strategies for clients.

Join Rise to see the full answer
How do you ensure team collaboration and knowledge sharing?

Focus on the strategies you’ve implemented to foster a collaborative work environment. Mention tools or practices like regular team meetings, feedback loops, and transparent communication channels that have successfully promoted knowledge sharing within your teams.

Join Rise to see the full answer
What key metrics do you consider when assessing the success of insights solutions?

Discuss specific metrics relevant to marketing analytics, such as customer engagement rates, growth in market share, or revenue expansion. Explain how you track these metrics over time and adjust strategies accordingly to ensure ongoing success.

Join Rise to see the full answer
In what ways have you navigated stakeholder partnerships in complex projects?

Share detailed examples demonstrating your ability to understand and align differing stakeholder objectives while maintaining project momentum. Emphasize your collaboration skills and how you build trust among diverse teams.

Join Rise to see the full answer
What is your approach to driving customer-centric solutions?

Articulate your methodology for understanding customer needs, such as conducting surveys or engaging in direct feedback sessions. Explain how this feedback informs your project goals and innovations to better meet customer expectations.

Join Rise to see the full answer
Can you give an example of how you used data to drive a marketing decision?

Choose a relevant case where data analytics led to actionable marketing strategies. Discuss the methodology, insights gained, and the resulting decisions that positively impacted ROI, emphasizing the importance of data in the decision-making process.

Join Rise to see the full answer
How do you stay updated on the latest trends in marketing analytics?

Discuss your commitment to continuous learning by mentioning specific sources such as industry publications, webinars, and networking events. Emphasize sharing this knowledge with your team to encourage innovative thinking.

Join Rise to see the full answer
What role do you see technology playing in future marketing strategies?

Highlight your views on the integration of advanced technologies like AI, machine learning, or data clean rooms in enhancing marketing strategies. Discuss how these technologies can drive personalized customer experiences and improve decision-making across marketing teams.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Posted 9 days ago
Photo of the Rise User
Posted 9 days ago
Photo of the Rise User
Posted 11 days ago
Photo of the Rise User
Posted 10 days ago
Photo of the Rise User
Posted 17 hours ago
Photo of the Rise User
Posted 7 days ago
Photo of the Rise User
Posted 12 days ago
Photo of the Rise User
Synergy ECP Hybrid Annapolis Junction, MD
Posted 13 days ago

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...

385 jobs
MATCH
Calculating your matching score...
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
December 2, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!