Head of Data (Remote)

Key Skills

Analytical and Problem solving, Data Analytics, Data Biuld Tool - dbt, Data science techniques, Effective communication skills, Google BigQuery, Leadership, Mentoring, Tableau

Job Description

At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.

We are seeking a dynamic and strategic leader to join our team as the Director of Data. Reporting to the COO, the Head of Data will be responsible for leading data-driven decision-making across the organization by providing teams with the data infrastructure, pipelines, tools, and insights they need to make informed decisions. You will work closely with cross-functional teams, including senior executives, growth/marketing, product, engineering, GTM, and finance, to proactively identify opportunities and improve outcomes by leveraging key market, business, and product facts.

Responsibilities

• Lead the development and execution of the company's data strategy, ensuring that data is at the forefront of decision-making across the organization
• Proactively, and in partnership with the functional organizations, identify areas where data can be impactful to GTM, R&D, and G&A teams. Taking into account the company’s product, buyer journey & sales motion, market context, and specific needs for metrics and analysis, you will build efficient and scalable data pipelines and interactive insights and visualizations that enable data-driven decisions across Weights & Biases
• Manage, mentor, and develop a team of data scientists and data platform engineers
• Continuously assess the effectiveness of data-driven initiatives and adjust as necessary to ensure maximum impact

Requirements

• A strong background in end-to-end data science and analytics (from data engineering through insight generation), with a focus on business outcomes and proactive, cross-functional collaboration
• Strong leadership and communication skills, including the ability to effectively communicate data insights to non-technical stakeholders
• Proven experience in driving data-driven decision-making across an organization
• Experience with a variety of data visualization tools and techniques. Our evolving data stack currently includes Google BigQuery, Segment, dbt, Dagster, Stitch, Monte Carlo, Census, Tableau, and Mixpanel
• Strong problem-solving and critical-thinking skills

Must Be

• Impact-driven: motivated by the opportunity to improve our business, product, and market position through data-driven exploration (more so than using a specific technology or tooling)
• Proactive: driven to be the “advance scout” - understanding our product & market context and identifying areas where data can be impactful to optimize our activities.