Sr. Associate, Strategic Finance - Data Center Infrastructure

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 our San Francisco, CA or Mountain View, CA office. LinkedIn’s R&D Finance Team is seeking a Strategic Finance Sr. Associate, Data Center Infrastructure to support our Infrastructure team, driving efficient and effective planning and forecasting processes and providing clear visibility into the R&D spend and investments. Areas of focus will include driving the long range forecasting, reporting and deeper development of infrastructure metrics; and working with horizontal and product engineering teams on R&D investments and ROI tracking. Responsibilities: Build and maintain long range modeling of infrastructure costs, provide key decision support on investment decisions. Partner closely with engineering leaders to support and manage infrastructure growth and investments.  Oversee the completion of complex financial modeling development / improvement / maintenance. Drive the development and implementation of new processes to support the successful completion of timely and accurate forecasts, financial planning consolidations, and tracking of key investments and performance metrics. Drive data-driven analysis, size opportunities, develop understanding of key performance drivers to identify areas of improvement and prioritize strategic opportunities. Structure and analyze problems effectively to develop the team’s thinking, facilitate alignment on key strategic decisions among various stakeholders, and identify 80/20 opportunities to reach insightful, implementable, and impactful answers. Act as the connective tissue across multiple R&D teams to shape the vision, influence decisions, bridge different points of views, see-around-the-corner for any LinkedIn implications. Define actionable deliverables, create workstreams, define RAPIDs, track and monitor progress, diagnose and resolve issues, proactively manage risks and address misalignment between teams. Communicate and present succinctly and effectively in exec-ready formats. 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.  Preferred Qualifications: 3+ years of experience in the technology industry.  Advanced Excel Modeling skills and demonstration of critical thinking—ability to question the output of a financial model and consider options for improvement. Direct experience working with both on-premise datacenter forecasting (capex and operating expense) as well as cloud hosting expenses. Strong, independent voice to push teams’ thinking, influence leaders on direction, while able to build trust-based relationships across the company to drive alignment. Suggested Skills: Strategic thinking Data-driven decision making   Ability to structure ambiguous problems Executive level communications Influencing for Impact   LinkedIn is committed to fair and equitable compensation practices.     The pay range for this role is $107,000 to $172,000. 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. 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