Vice President, Data Analytics/Insights

New York City

Applications have closed

Peloton

Access high-energy workouts, instantly. Discover Peloton: streaming fitness classes to you live and on-demand.

View company page

ABOUT THE ROLE

The VP, Data Analytics/Insights will manage a team of data scientists, engineers, and analysts to develop and implement platforms and reporting services to support executive and operational reporting, demand planning, and strategic decision making.  Your passion is accurate, available data, and you have demonstrated Big Data experience.

YOUR DAILY IMPACT AT PELOTON

This role will be responsible for setting and executing against department strategy to deliver scalable, collaborative data analysis and reporting platforms which support business operations teams across multiple domain areas: forecasting, growth and retention analytics, product insights, inventory management, and financial operations.  Identify and build new opportunities for cross-department collaboration, increased sharing across teams, and enhanced scalability of solutions across multiple partner groups. Drive strategy around implementing new data science methodologies and selection of new tools. You will refine and uplevel the technology architecture in our corporate data warehouses, data lakes, and integrations to source systems.

Leading a team of data scientists and analysts, this role will recruit, manage, mentor, and inspire data science team(s); managing performance, goals, and development potential. Cultivate professional development opportunities. Help team members establish development goals, align goals with business priorities, develop for the future, and evaluate success.

Partner with business operations teams and analytics product managers to anticipate, identify and facilitate the solution to enterprise issues concerning critical business needs, and support product road-mapping and prioritization decisions across the analytics portfolio.

Partner with engineering teams to influence enterprise-level data products, IT architecture, and engineering platform strategies to meet the needs of business and the data science solutions. Help shape Peloton’s data science capability by creating scalable, reusable, and customizable analytical components.

Work with key business partners to understand and anticipate current and future business needs. Evangelize data science and help senior leadership identify business areas where data science will make the biggest impact. Evangelize the value of analytic products through effective storytelling and collaboration with key partners. 

Keep abreast of technology trends as well as emerging data science tools, techniques, and standard methodologies.

Create and foster an environment that values and promotes diversity and inclusion, autonomy, skill mastery, empowerment, transparency, innovation, and continuous learning

YOU BRING TO PELOTON

  • A dynamic leader that thrives in a highly cross-functional entrepreneurial environment.
  • A curious self-starter, flexible problem solver, and a thoughtful  communicator.
  • Bachelor's degree in Mathematics, Statistics, or related field or equivalent combination of education and experience.
  • 10+ years of hands-on data science experience developing analytics systems and working with big data (preferring at least 3 years should have been in a cloud environment).
  • Experience partnering with business teams to architect and strategize technology and data roadmap
  • Experience building and leading successful data science teams including mentorship and career development of both data engineers and data analyst team members.
  • Experience communicating and collaborating with executive level audiences.
  • Experience setting long term vision and strategy with ability to establish department wide goals
  • Understand the ecosystem of diverse skills that need to come together to make a large-scale data science project successful at an enterprise scale
  • Extensive and/or in-depth knowledge of data science, machine learning, forecasting and optimization modeling, and algorithms
  • Strong familiarity with data platform technologies such as Looker, Redshift, Databricks, and Snowflake, as well as integration platforms such as Kafka.
  • Strong familiarity with the Agile development process and proven ability to prepare a project plan, communicate the plan to the team, and break the work down into trackable tasks.
  • Able to quickly pick up new programming languages, technologies, and frameworks.
  • Expert understanding of solutions and technical design.
  • A team-player attitude is essential since we value a culture that is collaborative, intellectually curious, and diverse.

#LI-VV1

#LI-Hybrid

ABOUT PELOTON:

Peloton is the leading interactive fitness platform globally, with a passionate community of 7 million Members in the US, UK, Canada, Germany, and Australia. Peloton makes fitness entertaining, approachable, effective, and convenient, while fostering social connections that motivate its Members to commit to their fitness journeys. An innovator at the nexus of fitness, technology, and media, Peloton reinvented the fitness industry by developing a first-of-its-kind subscription platform that seamlessly combines the best equipment, proprietary networked software, world-class streaming digital fitness and wellness content, and best-in-class fitness experts and Instructors.

At Peloton, we motivate the world to live better. “Together We Go Far” means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. By combining hardware, software, content, retail, apparel, manufacturing, Member support, and so much more, we deliver an exhilarating fitness experience that unlocks our members' greatness. Join our team to unlock yours.

Peloton is an equal opportunity employer and committed to creating an inclusive environment for all of our applicants. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you would like to request any accommodations from application through to interview, please email:  applicantaccommodations@onepeloton.com

Peloton has a COVID-19 vaccination policy to safeguard the health and well-being of our employees and customers globally. All employees based in the U.S. and Canada are required to provide proof of vaccination, unless the employee has a Peloton-approved reasonable accommodation or as otherwise required by law.

Peloton values the side-by-side collaboration that comes with working together in an office. Our Hybrid Working Policy requires team members in US office-based roles to be in the office every Tuesday, Wednesday and Thursday.

Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. 

If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence.

Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

Tags: Agile Architecture Big Data Consulting Data analysis Data Analytics Databricks Engineering Kafka Looker Machine Learning Mathematics Redshift Snowflake Statistics Streaming

Perks/benefits: Career development Flex hours Transparency

Region: North America
Country: United States
Job stats:  14  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.