Sr. Director of Data & Analytics (REMOTE)

About Roadpass:

Roadpass Digital revolutionizes road-based travel and outdoor tourism through innovative products and services. We aim to empower travelers who love exploring the outdoors and are always ready for their next adventure. Our brands include Roadtrippers and Campendium.

Roadpass makes those experiences more accessible and memorable by making it easier to hit the road.

We empower travelers and businesses that understand the outdoors are meant to be explored, that roads are meant to be driven, and that your next adventure is right around the corner.

Millions of travelers have discovered the benefits of Roadpass brands and the ability to make it easier to own and maintain recreational vehicles, which help them find out, book, and navigate road trips.

• Roadtrippers is the #1 road trip planning tool. Roadtrippers help people discover the world around them in an entirely new way by streamlining discovery, planning, booking, and navigation into an engaging and intuitive process.

• Campendium is a camping app that helps traveling families, couples, and soloists find an ideal campsite, verified by an entire community of campers. Features include map overlays for cell coverage and public lands so you can always find the perfect campsite. Campendium is free to use and will change how you find a place to call home for the night.

We are excited to be named one of the Best Places to Work in 2024 by Purpose Jobs 🚀

We value our people and are committed to creating a healthy and fun culture for our team. We're #hiring and looking for talented folks. Let's talk about whether you want to join a top tech company.

Role Overview:

The Senior Director of Data & Analytics will be instrumental in shaping strategies and overseeing projects to enhance unique business and product capabilities by utilizing Data Analytics and Machine Learning. This role also involves supporting and empowering the entire organization to embrace and implement data-driven approaches and advanced analytics to achieve business outcomes.

Where You're Located:

Candidates for this role will be based in the United States and work remotely. 

Requirements

• Define, articulate, and execute the vision, strategy, roadmap, and planning for database augmentation, data maintenance/QA, and advanced analytics capabilities across all Roadpass Digital business channels.
• Engage with senior business leaders internally and externally to understand business priorities and key value initiatives, identify and educate on where and how data analytics can provide the best insights and add the most value.
• Guide business partners on the interpretation, implications, and use of data analytics results. Prepare and deliver presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.
• Design and implement organizational processes, structures, and systems for scaling data analytics capabilities across the enterprise.
• Lead a team, including 1:1 discussions, goal setting, team motivation, performance management, recruitment, and retention. This role requires a leader who can be both a player and a coach.
• Inspire and grow a team of distributed data analysts and data scientists. Establish a culture of innovation, agility, continuous improvement, and openness. 
• Apply expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
• Bring a roll-up-your-sleeves attitude and build/review BI dashboards (looker), stakeholder tools, and statistical models to support informed decision-making.
• Keep abreast of industry, market, and company trends and partner with business leaders to champion the adoption of new data, analytic approaches, techniques, and capabilities.
• Evaluate, vet, and recommend third-party vendors as needed.

Experience:

• 8+ years of overall hands-on experience in Data Engineering and Advanced Analytics.
• Previous experience leading a team of Data Analysts and Data Scientists.
• Proven track record leading the development and delivery of advanced, actionable Data Analytics, Machine Learning / AI products (a plus but not required), and services, including creating predictive models that serve as the foundation for new product offerings.
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