Lead Product Manager, Data & Analytics

Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry. Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more. Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending. Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes

Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries. This includes a vast portfolio of global brands, such as European Wax Center, Hand & Stone, Massage Heights, Rush Hair & Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONI&GUY.

Our recent accomplishments include surpassing a $1 billion unicorn valuation, being named Next Tech Titan by GeekWire, raising an $80 million investment from TPG, ranking as the 316th fastest-growing company in North America on Deloitte’s 2020 Technology Fast 500™. We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness. To learn more about Zenoti visit: https://www.zenoti.com

What will I be doing?

• Develop and articulate a clear vision and strategic direction for our data products. Work closely with senior management to ensure alignment with the organization’s overall objectives and the specific needs of our customers.
• Oversee the technical design and architectural decisions for building scalable and efficient data products. Ensure products are designed to leverage our data assets effectively.
• Implement data governance frameworks and establish standards for data quality and consistency across Data Lake and other platforms. Ensure compliance with data security and privacy standards.
• Facilitate collaboration across engineering, data science, and business teams. Translate business needs into technical specifications and ensure that developed solutions meet these specifications.
• Conduct user research to gather insights into user needs and pain points. Use this information to guide product development and prioritize features that deliver significant value to users.
• Define and monitor key performance indicators for data products to evaluate success and identify opportunities for improvement.
• Write detailed functional specifications and collaborate with engineering teams to deliver features release after release.

What skills do I need?

• Has 10+ years of overall work experience and 3+ years of work experience in a Product Manager or Technical Product Manager role, with significant expertise in managing data products.
• Strong technical understanding of Data Schemas, Amazon Redshift, Amazon S3, and extensive experience with Data Lakes.
• Demonstrated experience in designing and managing large-scale data infrastructure projects.
• Working knowledge of current analytical technologies, data warehouse design and business intelligence best practices
• Excellent analytical, problem-solving, and strategic thinking skills.
• Effective communication skills, capable of explaining complex data concepts to non-technical stakeholders.
• Must have a good understanding of mobile, web and cloud technology space
• Bachelor’s degree in Computer Science, Information Systems, or a related field. A Master’s degree is preferred.

Zenoti provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.