VP Enterprise Analytics

About the Role

Key Responsibilities

• Develop and implement an advanced analytics (including AI and GenAI) strategy and roadmap aligned with Republic's strategic priorities.
• Lead the adoption of advanced analytics into Republic's business by partnering with leaders to identify use cases and prioritizing them based on business impact.
• Work cross-functionally with IT and business partners to execute the analytics roadmap and deliver measurable business outcomes.
• Partner closely with stakeholders to integrate the delivery of new analytical capabilities into existing business practices.
• Translate complex analytical insights into actionable strategies for diverse, non-technical audiences, building credibility as a strategic partner.
• Identify emerging technology and advanced analytics trends and explore new approaches to leverage data for business advantage.
• Recruit and develop a world-class team by developing strategic university partnerships and engaging within the broader analytics and data science community.
• Partner with IT and business leaders to increase data literacy across the organization and build a data-insights driven culture.
• Lead Republic's GenAI Governance Council responsible for evaluating and prioritizing new opportunities.

Requirements

• Demonstrated ability to identify and develop high-impact analytical solutions to complex operational and business challenges resulting in measurable outcomes.
• Experience in translating business needs to analytic requirements and communicating results to a broad audience.
• Expert-level knowledge of advanced analytics techniques, tools, platforms, and technologies.
• Prior experience as a Data Scientist working on challenging business problems and developing unique solutions.
• Full-stack experience in data collection, aggregation, analysis, visualization, productization, and monitoring of data science products.
• MS in a quantitative field such as computer science, statistics, mathematics, or relevant field.
• Excellent communication skills, both written and verbal, with the ability to translate complex technical concepts to non-technical stakeholders.
• Proven track record of building trust-based relationships with C-level executives, IT, and business stakeholders.
• Ability to influence and drive change across multiple departments and functions.
• Minimum of 10+ years of relevant experience leading advanced analytics teams that have delivered measurable business outcomes in a data-intensive environment.
• 10+ years of experience leading a team of data scientists and analysts.

Nice to Have

• Experience in waste management, environmental services, or a logistics-intensive or service-oriented industry.
• Familiarity with operational challenges and opportunities specific to large-scale logistics and service-oriented businesses.

Benefits & Perks

• Comprehensive medical benefits coverage, dental plans and vision coverage.
• Health care and dependent care spending accounts.
• Short- and long-term disability.
• Life insurance and accidental death & dismemberment insurance.
• Employee and Family Assistance Program (EAP).
• Employee discount programs.
• Retirement plan with a generous company match.
• Employee Stock Purchase Plan (ESPP).