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VP of Data & Analytics

Generation TuxWorldwideRemote
ApplyDescription

Job Type:

Full-Time; EXEMPT

Location:

UNITED STATES; REMOTE

Reports To:

Chief Customer Officer
Generation Tux is seeking an experienced Business Data Analyst to join our team. The ideal candidate will be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, this person should be committed to transforming data into readable, goal-oriented reports that drive innovation and growth. If you're passionate about leveraging data to shape business outcomes and thrive in a fast-paced environment, we want to hear from you!Generation Tux is an online tuxedo and suit rental platform founded by menswear legend, George Zimmer.

Geroge created the company in 2014 to provide high-quality tuxedo and suit rentals, competitively priced, and in the most convenient way possible -- shipped directly to your door.The VP of Data & Analytics will serve as a strategic partner to the executive team and lead the vision, development, and execution of our company-wide data reporting strategy. This person will oversee all data-related functions—analytics, governance, and strategy—and will be responsible for building a world-class data organization that fuels innovation and business performance.

Responsibilities


  • Define and drive the enterprise data vision, ensuring data is leveraged as a strategic asset across the organization
  • Partner with the CEO, CFO, and other C-level leaders to shape strategy through data-driven insights and forecasting to enhance Generation Tux’s ability to make data-driven decisions
  • Build and lead a high-performing data organization, including analytics, data science, engineering, and governance teams
  • Oversee data infrastructure development and modernization, enabling scalability, automation, and real-time insights
  • Establish frameworks for experimentation, predictive modeling, and advanced analytics to optimize key business functions
  • Champion a culture of data literacy, self-service, and cross-functional collaboration
  • Establish and govern data management frameworks and policies, including data quality standards, lineage, stewardship, and compliance protocols
  • Develop and execute a self-service analytics strategy, enabling democratized data access while maintaining centralized standards
  • Evaluate and implement cutting-edge data platforms, technologies, and vendor solutions

Requirements

  • 10+ years of progressive experience in analytics and data strategy and operations, with 4+ years in a senior leadership capacity
  • Deep knowledge of data architecture, business intelligence, analytics tooling, and governance frameworks
  • Demonstrated success in scaling data teams and systems in high-growth, tech-enabled, startup-minded environments
  • Executive presence and ability to influence and drive alignment at the C-suite level
  • Strong financial and business acumen with the ability to tie analytics to P&L impact
  • Advanced degree in Data Science, Computer Science, Business, or a related field or equivalent work experience
  • Travel up to 10% for team collaboration, leadership offsites, or strategic planning sessions as needed

Nice to Have


  • Able to demonstrate calm demeanor through challenges
  • Experience planning to address gaps in team operation, and demonstrate a long term view that motivates the team
  • Able to show examples of execution against long term plans
  • Experience writing design documents and whitepapers available to external partners and customers
  • Examples of working with data scientists at a technical level, developing technical requirements aligned to business needs
  • Experience with larger data warehouse / data lake systems that are SQL capable
  • Experience with an AWS/Google Linux-based environment rather than Microsoft Azure
  • Experience working within a software company or software function in a larger company (as opposed to IT)
  • Experience operating a team using Agile practices

Posting Statement


At Generation Tux, we believe that our goal is to enable incredible lifestyle experiences during major life events. Each of us has a responsibility to drive accountability, transparency, and respect.Generation Tux is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

Generation Tux does not accept unsolicited headhunter and agency resumes. Generation Tux will not pay any third-party agency or company that does not have a signed agreement with Generation Tux.


Life at Generation Tux

Gentux is a first-of-its-kind ‘high tech, high touch’ online tuxedo and suit rental platform. From trusted entrepreneur George Zimmer, whose pioneering vision is once again revolutionizing how people get dressed and share key life experiences, Gentux is changing the way men rent tuxes and suits, making this luxury accessible to all. Distinguished by superior quality and style, a hassle-free online shopping experience and an unrivaled customer service team, Gentux is in a league of its own. Visit www.gentux.com or join the conversation #GENTUX.
Thrive Here & What We Value1. Equal Employment Opportunity and Affirmative Action Employer2. Inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits3. Commitment to creating a workforce that reflects society through transparency, respect, and equality in our communities and workplaces4. Positive, diverse, and supportive culture5. Aim to be transparent, respectful, humble, hardworking, and collaborative6. Diverse and inclusive workplace7. FullTime Regular Benefits: Medical, Dental Vision, Life and 401k options8. Personal/Sick Time off and paid holidays (5) (12) Floating Holidayer9. Belief in enabling incredible lifestyle experiences during major life events10. Strong, corporate culture that stresses communication and high-level execution
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