Manager, Data Foundations - Center of Ops Innovation

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

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 high-impact data-driven decision-making and insights. This Data org combines business acumen with data engineering, data strategy & governance, and advanced analytics capabilities to provide a data-driven perspective on LinkedIn’s business performance and enable its efficient scale and operations. In this role, you will learn the Finance ecosystem inside-out, develop roadmaps, test & learn, and power data that supports hundreds of global stakeholders. Additionally, you will cultivate strong relationships and collaborate cross-functionally 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 high-profile 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 values-driven 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 data-centric 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   

• Bachelor's 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 business-critical 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, end-to-end solution design, deployment, process transformation, troubleshooting, and data-driven 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