Location: Charlotte, NC, USA Req Number: Req# 175 Date Posted: Posted Wednesday, October 30, 2024
The Director of Business Intelligence and Decision Science will provide both leadership and strategic guidance informed by research, product analytics, and marketing activities to investigate business questions and generate insights to drive improvement for account acquisition, revenue generation, and end-user engagement and retention. This role will lead a team of data scientists, and business analysts focused on leading business and financial reporting, a/b testing, predictive analytics and machine learning & AI research and development to drive customer acquisition, activation, engagement, and business growth. In this role, you’ll be a thought partner and will work closely with the leaders of all functions in the business: sales, business development, finance, operations and account management, product management, and engineering. The ideal candidate will have experience leading a team for a SaaS organization, developing team members technical and non-technical skills, and leveraging mature infrastructure to iterate, test and ultimately drive growth over time.
In this Role You Will:
Experience leading teams exploring business questions – account and customer churn, cross-sell analyses, renewal analyses and exploring triggers and pain points in the customer journey
Leverage market intelligence, product performance, marketing analytics, and customer insights to support product and product marketing leaders in developing long-term product strategies for acquisition and activation
Experience leading sound A/B testing programs that measurably drive business outcomes - experience in growth marketing and business or product strategy, ideally in a SaaS environment preferred
Establish a roadmap for strategies to target opportunities, analyze failures and areas inform operations, product development, and future research efforts to enhance acquisition, activation and referral
Drive growth research to validate and experiment messaging/use cases to help alpha and beta product refinements
Improve customer engagement by leveraging content through machine learning models, analytics and other tools
Lead the development of frameworks for deploying and evaluating machine learning models in production
Find and implement creative, unconventional and cost-efficient channels to build customer base and grow the adoption of the product – e.g. segmentation of messaging to test growth loops and engineering changes in the product to shape the product to self-grow
Work collaboratively with senior leadership in product to ensure our platform has the most efficient tools, systems, and processes to drive sustainable growth
Experience working closely with partners across the company to help drive our product-led growth strategy to directly impact customer acquisition, retention, and revenue
Manage implementation of strategic plans for business intelligence and collaborate across the organization to develop and implement large-scale reporting solutions and business insights
Experience working with agile data engineering teams, design, research, customer support, and third parties across many different locations and time zones
Experience ideating on experimentation of product to support enhancements for product management and engineering teams to scoping, testing, and executing solutions in a production environment
Drive adoption of predictive analytics best practices within the team and find ways to improve effectiveness through the introduction of tools and processes
Advocate for testing and learning throughout the organization, including helping to establish methodologies for measuring performance of tests
Mentor, guide, and develop data scientists and analysts within the team
Core Competencies and Experience:
Ability to independently assess challenges and creatively problem solve
Advanced understanding about how businesses operate and make decisions
Proven ability to manage and develop a cross-functional team
Familiarity with marketing automation platforms preferred
Strong leadership skills, effective time management and ability to work across all levels of the company
Understanding of models used in business environments such as those for customer churn and retention, cross-sell/upsell, onsite search, recommendations, incrementality modeling and testing, marketing mix modeling, and personalization
Excellent written and verbal communication skills
Credentials and Experience:
Bachelors degree in Business, Statistics, Mathematics, Economics, or related quantitative field; Masters or higher degree preferred
7-9 years of experience in predictive analytics or equivalent, including practical experience with various machine learning techniques and statistical modeling to examine why a piece of content, message or product experience is driving growth
Extensive experience in leading cross functional projects, building consensus and leading data enablement conversations
Experience with customer data pipeline management systems like Hightouch, Segment or Rudderstack
Legal right to work in the United States
This role will sit in our Charlotte headquarters with a hybrid work schedule.
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At Discovery Education, we are fulfilling our mission of preparing learners for tomorrow by creating innovative classrooms connected to today's world.
Serving more than 4.5 million educators and 45 million students, available in approximately half of U.S. classrooms and primary schools in the UK, and more than 140 countries around the globe; we are on a journey to transform teaching and learning though innovative partnerships with school districts, states, ministries of education, and other like-minded organizations.
We have built an award-winning and highly reputable organization because of talented and driven people who work together to accelerate student achievement by tapping into students' natural curiosity and desire to learn by capturing their minds and imagination through the fascination of Discovery.
Why Join Discovery Education?
Discovery Education believes empowering each team member is vital to cultivating high performing, highly engaged teams. Being a part of our team means we partner together to achieve mutual goals. To this end, Discovery Education offers a robust and comprehensive insurance package. You can find a complete listing on our Career Page.
Along with traditional insurance offerings, our inclusive offerings center around:
Career Development Ownership - Be the driver of your success!
Continuing Education AND Tuition Reimbursement Programs
Mentorship program and collaboration with veteran leaders
Constant opportunities for cross-functional training and skill building
Uncapped career growth
Team Member Wellness – When you feel great, you do great work!
Leave for life’s moments including 7 recognized holidays
Take PTO without the vacation guilt
Up to 12 weeks of Paid Parental Leave
Annual Winter Holiday Break (typically the last week of December)
This opportunity is perfect for people interested in joining a high-performing, collaborative team, who enjoy a dynamic industry, and are excited about high-impact, project-based work.
Inspired? We would love the opportunity to review your candidacy! Select the blue “Apply Now” button at the bottom left of the screen to begin your application.
Discovery Education is an equal opportunity employer. Discovery Education is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information.
