Technical Field Operations -Data Intelligence Manager

Technical Field Operations -Data Intelligence Manager

Our Value Engineering team, which builds and maintains all technical field documentation, process, internal and external asset creation, customer journey, and cross-functional systems, is in need of a self-driven, passionate Ops Manager with a focus on Data Intelligence. Value Engineering (VE) is a diverse team made up of some of our most talented technical thought leaders who are continuously building systems and processes that integrate with our Products and customers. In the VE Ops role, you will become a trusted business partner to our senior leadership and align with our Technical GTM Field, Product, Business Analytics and RevOps teams to drive outcomes. You’ll own the analytics, reporting and metrics to measure the progress and success of VE to ensure they’re exceeding expectations. The VE Ops role will be at the center of data reporting, modeling and visualization from design, to build, through enhancements.  In addition to managing our data strategy for VE, the role also requires a business aptitude of Technical Field Organizations and an understanding of the nuances of the business. This role will require the balance between understanding the business strategy, driving the operational efficiencies and translating the balance of the two into clear business reporting and system outputs.

This role sits in our Technical Field Operations team, part of our wider Revenue Operations organization. The role will collaborate with cross-functional business partners like Product Engineering, Product Development, Systems, Business Intelligence and Strategy teams to ensure alignment and execution.

In this role, you can expect to:

• Partner with Value Engineering leadership in setting the vision, planning for, and driving the strategic direction of the organization
• Drive department-wide reporting for measures of success
• Own the reporting and system requirements for internal VE systems 
• Report in multiple formats (CRMs, BI tools, and spreadsheets)
• Maintain and report on how VE metrics align with the rest of the business
• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Build reports and dashboards using Sigma, SQL, and other scripting and statistical tools
• Work with and mentor junior analysts on how to use more advanced methods and solve challenges
• Provide insights to help Value Engineering leaders understand user dynamics, user behaviors, and long-term trends
• Identify and measure levers to help move essential metrics and make recommendations
• Deep dive regularly into metrics to identify root cause issues/opportunities and follow through with action-oriented insights
• Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
• Participate in global and geo sales strategy & planning activities
• Define charter, impact, goals, and milestones with tiger teams on strategic projects
• Build strong, trust-based relationships with leaders of the technical field organization leadership, sales operations, product management and engineering departments
• Partner cross-functionally to maintain/improve the baseline solutions used by SEs globally
• Partner with SE Ops, CS Ops, and PS Ops to integrate or update the customer journey, systems, and other solutions that VE provides to the TFO teams

You may be a good fit for our team if you have:

• A degree in Math, Statistics, Economics, Computer Science, or a similar domain
• 5+ years of experience in data analytics, consulting, or related role
• Have Sales Operations or Revenue Operations experience
• Deep understanding of pre and post sales operations processes, methodologies, and technologies.
• Experience with Sigma Computing and Snowflake Required
• Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
• Ability to infer useful forward-looking directions from results of retrospective analysis
• Maintain exceptional understanding of business KPIs and related business/customer processes to ensure the relevancy of the model
• Experience in working with cross-functional teams to deliver results
• Ability to communicate results clearly and a focus on driving impact
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
• Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
• A builder's mindset with a willingness to question assumptions and conventional wisdom
• Ability to carry multiple tasks or critical projects and prioritize in a growing company
• Exhibit exceptional communication skills needed to articulate the model’s impact in business terms, whether to front-line managers or to executive leaders
• Understand or have experience engaging with customers in the SaaS space
• Document Management tools/AI knowledge a plus
• Track record of productivity and efficiency improvement
• Proficiency in effective decision-making

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