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Home›Jobs›Tekion›Senior Manager, Data Analytics
Tekion

About Tekion

The cloud platform transforming automotive retail efficiency

🏢 Tech👥 1001+ employees📅 Founded 2016📍 Pleasanton, CA💰 $635.1m⭐ 3.4
RetailB2BCloud Computing

Key Highlights

  • Raised $635.1M in Series D funding
  • Serves customers in 28 states with major partners like GMC and Chrysler
  • Headquartered in Pleasanton, CA with 1,000+ employees
  • Offers unlimited PTO and 100% employer-paid health coverage

Tekion is a cloud-native platform revolutionizing the automotive retail industry by integrating various software applications into a single infrastructure. Headquartered in Pleasanton, CA, Tekion has raised $635.1 million in Series D funding and serves customers across 28 states, partnering with maj...

🎁 Benefits

Tekion offers unlimited PTO, 100% employer-paid medical, dental, and vision coverage, and generous stock options. Employees enjoy parental leave, free...

🌟 Culture

Tekion fosters an open and transparent culture that encourages innovation and rewards performance. The company emphasizes collaboration and community ...

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Tekion

Senior Manager, Data Analytics

Tekion • Pleasanton, CA

Posted 2d agoSeniorSenior product manager📍 Pleasanton
Apply Now →

Skills & Technologies

AIMachine learningData analytics

Overview

Tekion is seeking a Senior Manager, Data Analytics to lead a team of Data Product Managers in delivering data-driven insights and AI initiatives. You'll collaborate with various stakeholders to drive analytics solutions that support business growth.

Job Description

Who you are

You have 5+ years of experience in data analytics and product management, leading teams to deliver impactful data-driven solutions. You possess a strong understanding of AI and machine learning technologies, and you are skilled in translating complex data into actionable insights that drive business decisions. Your experience includes working closely with cross-functional teams, ensuring alignment between analytics initiatives and business objectives. You are adept at stakeholder management, able to communicate effectively with both technical and non-technical audiences. You thrive in a collaborative environment and are passionate about leveraging data to enhance customer experiences and business outcomes. You understand the automotive industry and its unique challenges, and you are excited about the opportunity to innovate within this space.

Desirable

Experience with cloud-native platforms and familiarity with the automotive retail ecosystem would be a plus. You are comfortable with agile methodologies and have a track record of successfully managing multiple projects simultaneously.

What you'll do

In this role, you will develop and own the Analytics and Enterprise AI strategy for key business areas, ensuring that your initiatives align with the overall enterprise data strategy. You will lead a high-performing team of Data Product Managers, guiding them in the delivery of analytics products that support critical decision-making processes. You will partner closely with stakeholders across Finance, Sales, Marketing, People, Professional Services, and Engineering to identify AI opportunities and prioritize initiatives. Your responsibilities will include overseeing the development of analytics solutions that enhance business growth and improve operational efficiency. You will also be responsible for mentoring your team, fostering a culture of innovation and continuous improvement. You will analyze market trends and customer feedback to refine analytics offerings and ensure they meet the evolving needs of the business.

What we offer

At Tekion, you will be part of a dynamic team that is positively disrupting the automotive industry. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work in a collaborative environment that values innovation and encourages you to bring your ideas to the table. Join us in our mission to transform the automotive retail experience through cutting-edge technology and data-driven insights.

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