Senior Manager, BizOps - Global Portfolio Analysis

About the Role

The Global BizOps team is responsible for building and continuously improving an advanced business data and tools ecosystem. This ecosystem empowers every Mobility Operations staff member to understand the ground truth of our business quickly.

The Global Performance Analysis (GPA) Lead challenges executive leadership to focus on the biggest, most consequential aspects of business performance. In doing so, this role enables a globally aligned 'management by exception' model where regional teams contextualise business performance via a global lens, and challenges from executives steer operations analytical capacity to be focused on the most globally-relevant questions and assumptions.

This role, which is anticipated to build out a small team of direct report ICs over time, will utilize (and motivate) new global analytical tools to achieve a deeper level of understanding of our business performance than we've ever had before; deep diving on metric trends, relationships, inter-dependencies, variabilities, sensitivities, uncertainties, risks, assumptions and BBQs ('big bold questions') with a particular focus on (1) understanding how our business is evolving / will evolve over the next 3-5 years, and (2) identifying what we can do NOW to optimise performance later.

This role will work closely with the Global Head of BizOps and the Head of Global S&P to evolve the content of Uber Mobility's executive materials, and will work closely with BizOps "Economic Performance" and other Ops counterparts in each region, to 'operationalise' a model where all 'top down' challenge and questions are appropriately contextualised, framed, prioritised and reported back on. The GPA Lead will also work with these regional and local stakeholders to help shape and contextualize/couch 'bottoms up' findings in a way that they can be immediately understood within the existing executive narrative of performance.

What You'll Do

• Analyze global business performance using advanced analytical tools and surface key insights, risks, opportunities and questions.
• Maintain a constantly updated perspective of the most important global and regional performance characteristics and update this view in light of new signals. "What should we care about right now?" and "are we focusing on the right topics?" are your P0 concerns
• Enable and coordinate a 'management by exception' model across global and regional operations teams, enabling all analytical efforts to be applied in a prioritised and efficient manner.
• Deep dive on priority questions, hypotheses and opportunities to understand ground truth and report back to Mobility leadership on what's happening and whether we should consider taking action
• Maintain a clearly documented and transparent PoV on the most important BBQs (Big Bold Questions) and Assumptions on which business strategy is based. Use this to help organise analytical resources where appropriate to answer BBQs and challenge assumptions.
• Face off to regional BizOps Economic Performance Leads (and/or their Ops equivalents) in each region, to ensure a coherent and globally scaled approach to cost saving, cost avoidance, capacity release and capacity re-investment; as a mechanism for freeing up resources to be re-focused on globally prioritised regional topics
• Develop deep SME knowledge of the economics and dynamics of Uber's mobility business, and use this to steer, coach, challenge leaders. Ultimately, this role will also contribute to the development of semantic layers for future biz performance focused AI-interfaces.
• Provide input to the DMAP Design Lead w.r.t. what analytical tools, models and other capabilities should be prioritised for development, and/or where specific or bespoke requirements exist to enable us to solve gnarly problems or go after outsize opportunities

• Experience: 8+ years of experience designing, building and using internal analytical tools within a data-driven organization to analyse and report on business performance.
• Business Acumen / Intuition: Deep understanding and intuition for the drivers of business performance within a complex and dynamic marketplace environment, and an ability to go beyond the data to consider the 'so what' and zero in on P0 characteristics
• Technical: Strong data visualisation skills (R, Python, Tableau, Looker Studio, etc.); you're able to perform exploratory data analysis to rapidly deep dive into topics and analyse them / diagnose them / develop recommendations
• Quantitative: STEM background with experience in time series analysis; this can be in financial services, hedge funds, or in industrial / medical fields. The key is demonstrated experience interpreting multivariate performance trends and using this to challenge the consensus view of performance.
• Communication & Influence: Able to articulate complex analysis in simple terms for senior leaders and a wide variety of other stakeholders; without losing the richness of insights. I.e. being 'as simple as possible but no simpler'
• Stakeholder Management: Acts as a coach and partner to a large number of global and regionally located stakeholders; enabling, steering, challenging and nudging in a way that builds trust rather than erodes it

• A combination of Quantitative PhD and industry experience
• Has held a quantitative analyst role analysing the performance of portfolios of assets.
• Has experience of business performance analysis within retail or consumer industries
• Quantitative consulting experience a big plus; with examples of the findings you surfaced / the value these brought to your clients
• Comfortable being hands-on / working quickly with R, Python, and coding-based statistical & analytical tools. Bonus points if you've built your own analytical suites previously
• Experience presenting to CxO level stakeholders and/or boards