Director, Product Analytics Los Angeles, California, United States
: Job Details :


Director, Product Analytics Los Angeles, California, United States

Tbwa Chiat/Day

Location: all cities,CA, USA

Date: 2024-11-14T19:04:47Z

Job Description:

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just drive in and drive out. We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

The Role

Metropolis is looking for a Director of Product Analytics to build our Product Analytics team, reporting to the Vice President of Product. You will have the unique opportunity to build the Product Analytics team from scratch, and by doing so, instill a culture of data-driven decision making within the Product team and the organization more broadly.

Your team will be responsible for quantifying potential priorities – helping the Product team decide which remarkable experiences to build – and measuring the impact of the products we choose to build, keeping us honest that we have delivered on our promises. You will create reporting to allow us to track our progress in real-time, distilling those into business insights that you will present to the executive team. You will collaborate with the Data Engineering and Application Development teams to define the data sources that are essential for your team's success, and to ensure that we are presenting a consistent, accurate, and relevant set of metrics to the organization.

The ideal candidate for this role is a player-coach, as comfortable setting your team's strategy as you are digging into the data to uncover insights yourself. We intend for this team to grow to include a handful of Product Analysts within the next several months, and you will be responsible for hiring the right candidates to multiply your impact.

Responsibilities
  • Develop an innate understanding of our customers, our products, and our business objectives.
  • Build a Product Analytics strategy and roadmap in consultation with the leaders of the Product and Technology organizations.
  • Ensure our Product OKRs are well defined and tracked.
  • Provide strategic guidance for the business and the Product team, helping us determine where to invest resources for the greatest return.
  • Determine our approach to measuring customer satisfaction and use it to provide actionable insights to each of the Product teams.
  • Own our Product Analytics tooling, ensure we are gathering actionable data on the key moments in the customer journey, and create self-service resources for PMs.
  • Collaborate with the Data and Engineering teams to create scalable, reliable, and accurate reporting.
  • Collaborate with the Revenue Operations team to quantify the commercial impact of our Product releases.
  • Build a Product Analytics team to provide leverage for doing all the above.
Requirements and Qualifications
  • BA/BS degree, preferably in a technical field.
  • 10+ years of experience in product analytics, data science and statistics, with 4+ years of experience building teams in these areas.
  • Track record of providing valuable insights that shape the product roadmap and business, with measurable impact on user growth, satisfaction, and other metrics.
  • Proactive, thoughtful, and highly organized self-starter; thrives in ambiguity and solving open-ended problems without a clear right answer.
  • Excellent communication and collaboration skills, enabling you to build positive relationships and communicate complex concepts across the organization.
  • High proficiency in Python, R, SQL, and other data science tools/frameworks.
  • Experience with self-service analytics tools (e.g., Heap, Amplitude) and BI tools (e.g., Hex, Tableau).
  • Experience working with ML, and experience using LLMs a plus.
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