drjobs Manager Data Foundations - Center of Ops Innovation

Manager Data Foundations - Center of Ops Innovation

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Job Location drjobs

San Francisco, 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 will be based in San Francisco Bay Area Mountain View or New York.  

The Data Foundations Manager will join our newly formed Data team in the Center of Ops Innovation org and lead global data initiatives for the CFO department. This is a unique role within the Strategic Finance function focused on informing more efficient operations and capital investments through powering highimpact datadriven decisionmaking and insights. This Data org combines business acumen with data engineering data strategy & governance and advanced analytics capabilities to provide a datadriven perspective on LinkedIns business performance and enable its efficient scale and operations. In this role you will learn the Finance ecosystem insideout develop roadmaps test & learn and power data that supports hundreds of global stakeholders. Additionally you will cultivate strong relationships and collaborate crossfunctionally with Finance leaders Engineering Data Science and vendors in order to identify opportunities design and deliver results. 

This position offers a candidate with data business intelligence or analytics experience an exciting and highprofile opportunity to influence the trajectory of LinkedIn overall through building and maintaining data foundations that fuel every level of our business.  

Responsibilities:

  • Inspire excellence through example coaching developing and inspiring others; foster a positive and valuesdriven team culture 
  • Build a scalable solution that synthesizes bookings expenses headcount and product data to provide a foundation for financial analysis and decision making 
  • Lead global data foundations and operations initiatives including solution design roadmap development prioritization and successful implementation 
  • Create and propose solutions to enable better data integrity decrease overall complexity minimize technical debt simplify processes and improve productivity 
  • Act as a key data & analytics partner to Global Finance leaders to understand business challenges and create datacentric solutions to address them 
  • Work with data teams across Sales Finance HR DS Eng to influence our broader data strategy source various datasets and ensure alignment 
  • Identify incremental opportunities and drive innovations across programs and tools to improve user experience ensure data accuracy increase data reliability and unlock productivity 
  • Effectively communicate the status of projects and insights globally 

Qualifications :

Basic Qualifications 

  • Bachelors Degree in Business Business Analytics Finance or related field AND minimum 5 years of experience in finance finance accounting management consulting investment banking or related field OR equivalent experience
  • 4 years of experience working with data systems or tools in a business setting including data management data science analytics business intelligence operations engineering reporting or consulting
  • 2 years of experience using SQL to create manage maintain and manipulate large datasets 

Preferred Qualifications 

  • 2 years of experience creating and maintaining businesscritical datasets data infrastructure tools and systems
  • 2 years of experience with Python and Data Visualization (Tableau PowerBI)
  • Track record of driving measurable business impact through technical expertise and business acumen; analytical structured systematic and creative problem solver
  • Proven experience leading data & BI initiatives including data infrastructure endtoend solution design deployment process transformation troubleshooting and datadriven insights 
  • Experience in a strategy and finance role demonstrated understanding of FP&A processes or demonstrated genuine interest in learning the space 
  • Proven experience managing a large diverse group of stakeholders and driving global projects independently 
  • Ability to communicate findings clearly to both technical and nontechnical audiences 

Suggested Skills: 

  • Data Analysis 
  • Business Intelligence
  • Data Visualization
  • CrossFunctional Partnership

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $123000 to $199000. 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 office 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

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 Statement2020 .

Please reference the following information for more information:  and

  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 and describe the specific accommodation requested for a disabilityrelated 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 nondisability 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 nondiscrimination provisions described at this link: https://lnkd/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: Work :

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Employment Type :

Fulltime

Employment Type

Full-time

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