Senior Director, Data

Senior Director, Data

This job is no longer open

Description

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.

We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

About the Role:

The Data Team strives to build out the central nervous system for the company in order to drive better and faster decisions via data. Our charter includes Data Engineering, Data Science, and Analytics & Insights. It is our responsibility to build world class data infrastructure, tooling, governance, dashboards, and ML models to enable company-wide analytics, create insights & models and data products to drive business growth at scale, and to be a model user of Confluent Cloud.

As the Senior Director of Data, you will lead and grow a team of high performing Data Engineers, Data Scientists, BI Developers, and Analysts. You will articulate and execute the overall vision & strategy of the Data team, including a heavy focus on business partnership, data architecture, and our Customer Zero program.

What You Will Do:

  • Own and drive the vision, strategy and roadmap for Data and lead the team to execute. Specifically, be responsible for building:
    • A world class Customer Zero program
    • Foundational datasets & data marts to promote self-service analytics
    • Maturation of our approach to analytics, moving closer away from descriptive analytics towards more predictive & prescriptive analytics
  • Implement an approach for holistic prioritization to ensure resources are aligned to the highest impact and highest value initiatives
  • Build and scale a world class, multi-geo team of professionals across all disciplines within Data
  • Engage with Product & Engineering teams to deliver analytics and Data Science solutions to improve Confluent’s products, adoption, and consumption
  • Partner with GTM to evolve our approach to Customer 360, including building additional predictive models
  • Build a comprehensive Data Governance & compliance program
  • Mature Data team processes for support, agile, monitoring, and incident response
  • Partner with cross-functional stakeholders and partners, including Product, Engineering, Business Systems, and functional operation teams, to align on Data teams’ dependencies, roadmap, priorities, engagement model, and key processes
  • Be a thought leader, identify high impact project opportunities and process changes, and improve productivity of the overall Data Team

What You Will Bring:

  • 15+ years of experience in the Data, from companies with a heavy reliance on Data
  • 10+ years of experience managing a multi discipline Data team, with experience overseeing Data Science, BI, Data Engineering, and Analytics
  • Experience running and building large high performing & diverse teams across multiple geographies with multiple levels of management (40+ team members)
  • Deep knowledge of modern data stack and infrastructures, i.e., Cloud Data warehouse, data integration tools, Airflow, DBT, Tableau, etc.
  • Working knowledge of programming languages, i.e. SQL, Python, Java/Scala
  • Experience with Kafka or Confluent in a Production environment
  • Experience implementing data foundations, data marts, and building a single source of truth
  • Experience implementing Data governance & lineage programs
  • Experience implementing machine learning models for predictive business outcomes
  • Business acumen with an understanding of GTM, Product, and Finance landscapes
  • Strong ability to communicate cross-functionally, derive requirements and architect; to synthesize, simplify and explain complex problems to different types of audiences, including executives

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.

At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location.  This position has an annual estimated salary of $251,550 - $295,560, an annual bonus, and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE.

Click HERE to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.

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