Staff Capacity Demand Planner

3 weeks ago

Seattle, United States PAG Consulting Inc Full time

Job Title: Infrastructure Demand Planner

Location: Seattle, WA/Bay Area, CA(Hybrid)

Contract: 06+ Months


Description:

About the Role

The Capacity & Efficiency Management (CEM) organization is looking for a Staff Capacity Demand Planner to join us in our effort to become the most efficient delivery platform. In this role you will help Uber accurately capture all growth drivers that require Uber’s infrastructure to scale to meet product and business needs. You will contribute towards building a broad understanding of Uber’s consumption of resources across the entire tech stack, identify cost-savings opportunities, and develop simulation models to help Uber drive cost optimization and improve the accuracy of future forecasts. You will collaborate across multiple engineering organizations to understand current and future architectural considerations, enumerate sources of demand, and identify potential consumption optimizations. You will also partner closely with data scientists to analyze consumption data, help engineering organizations prioritize efficiency efforts, and improve model accuracy. Your efforts will directly drive significant optimizations with executive visibility in terms of money, time and effort.

An ideal candidate will be working closely with a highly cross-functional team, including product management, engineering, tech strategy, and leadership to help better understand, forecast, and drive down the cost of Uber’s infrastructure. A successful candidate will need to demonstrate strong interpersonal and technical skills, while also being able to present status and recommendations to a senior engineering leadership.


What You Will Do

- Partner closely with platform, technology, and product teams to understand their growth, sources of demand, optimize growth models, identify demand forecasting risks and efficiency opportunities.

- Develop forecasting models and iterate on model refinement to minimize forecasting errors by developing a deeper understanding of how various Uber infrastructure components scale.

- Derive insights from data to identify opportunities for efficiency and resource consumption reduction across the Uber infrastructure.

- Use statistical modeling techniques to develop northstar metrics and KPIs to help provide a more rigorous data-driven approach to manage the Uber infrastructure.

- Develop simulation models for the Uber infrastructure to improve our understanding of the various cost drivers and how to best control them, while managing risk, reliability and availability.

- Conduct ad-hoc analysis, reporting, and build visualizations to communicate findings to Engineering Leadership.

- Present findings to senior leadership to drive business decisions.


Basic Qualifications

- 4+ years of working experience in resource forecasting or demand planning in the tech industry.

- B.S. degree in Computer Science, Statistics, Economics, Mathematics, Machine Learning, Operations Research, or other quantitative fields, or equivalent industry experience.

- Excellent communication skills and a track record of broad stakeholder engagement.

- Knowledge of underlying demand models, mathematical foundations of statistics, optimization, resource economics, and analytics.

- Knowledge and experience in time-series forecasting, anomaly detection and building demand models in production.

- Strong interpersonal skills and attention to detail.


Preferred Qualifications

- Exposure to the infrastructure domain, particularly capacity engineering and capacity forecasting.

- Exposure to financial analysis and financial cost efficiency for infrastructure..

- Ability to use Python and Apache Spark to work efficiently at scale with large data sets.

- Proficiency in languages, technologies and tools like R, SQL, Spark, Hive.


Competencies (details)

Collaboration

Builds and sustains trusting, collaborative, and strategic relationships within and across teams or orgs, working with integrity. Treats others with respect, embraces diverse perspectives and encourages cooperation at all levels, leading by example. As a leader having conviction is expected and healthy debates encouraged; when an outcome has been decided they embrace the decision 100%. Embodies Uber's cultural values.


Problem Solving

Solves technical problems (that do not always have text book solutions) with simple and elegant design and implementation. Uses design principles and methods, knowledge of external best practices, understands limitations of existing solutions to build effective solutions that are integrated with existing solutions and in alignment with needs and goals across areas. Learns and anticipates current and future design requirements and evaluates trade-off decisions to design systems that meet current needs and can be extended for future needs. Creates and promotes efficiency and speed within Uber technology, people, and teams by leveraging and extending existing solutions, systems and services when possible.


Technical Leadership & Vision

Applies technical judgment and leadership to translate technical issues into a course of action based on priority and impact. Fully understands systems in their domain end-to-end, and independently identifies technical issues. Identifies and drives opportunities to utilize existing solutions across the company, develop shared components, and build platforms where it makes business sense.


Execution & Results

Defines and organizes to produce measurable outcomes. When faced with difficult problems and differing opinions, can build a structured approach to decompose the problem, seek out facts and data, and use those to structure the discussion and proposals to bring the teams to a shared understanding

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