Sr Data And Analytics Manager

Wild Fork Foods•Doral, FL

About The Position

Senior Manager – Data and Analytics Responsibilities Lead, mentor, and develop a high-performing team of analytics and insights professionals. Develop and execute a data and analytics roadmap aligned to Company's business priorities and IT strategy Evaluate, implement and continuously improve analytical processes, reporting tools, AI capabilities and BI infrastructure to enhance clarity, efficiency, and scalability. Promote a data-informed culture by advocating for the effective use of data and structured problem-solving methodologies in day-to-day decision making Partner with IT and business leaders to prioritize initiatives based on value, effort, and organizational readiness Establish and maintain data governance practices that ensure data quality, consistency, and appropriate access across the organization Oversee data integration across enterprise systems such as ERP, CRM, and commercial and supply chain platforms Engage with strategic leaders and C-suite to evangelize data & AI best practices and develop enabling relationships for the team Drive adoption of analytics tools and platforms , including automation and AI, to enable data-driven decision making and forecasting. Establish best practices for analytics methodologies , insight generation, and knowledge sharing across the organization.

Requirements

12+ years of experience in strategy or analytics roles — ideally with a background in management consulting, investment banking, private equity, or high-growth technology companies.
5+ years of experience leading cross-functional teams.
5+ years of experience directly leading technical teams, including software development.
Bachelor's or Master’s degree in information systems, Data Science, Finance, Business Analytics, Computer Science, or a related field.
Advanced experience working with data & AI products.
Outstanding communication skills, able to craft compelling, data-backed narratives that influence business and technical stakeholders at all levels, including C-suite.
Deep analytical fluency, comfortable operating across SQL, Python/R, spreadsheets, and data visualization tools to independently interrogate data and generate insights.
Exceptional interpersonal skills with proven experience in relationship building and partnering.
Must work well in both team and individual settings.
Strong analytical and problem-solving abilities, with a track record of turning data and insights into actionable plans.
Advanced project management skills, including the ability to coordinate multiple initiatives and drive cross-functional collaboration.
Adaptability and resourcefulness in a fast-paced, dynamic environment.
Knowledge of advanced analytics, predictive modelling, automation, and emerging technologies.
Proven experience applying statistical modelling and machine learning techniques in production.
Experience in working with cloud platforms, such as GCP, Azure, AWS, etc.

Nice To Haves

Experience in CPG, retail, food & beverage, or other consumer-focused industries is strongly preferred.

Responsibilities

Lead, mentor, and develop a high-performing team of analytics and insights professionals.
Develop and execute a data and analytics roadmap aligned to Company's business priorities and IT strategy.
Evaluate, implement and continuously improve analytical processes, reporting tools, AI capabilities and BI infrastructure to enhance clarity, efficiency, and scalability.
Promote a data-informed culture by advocating for the effective use of data and structured problem-solving methodologies in day-to-day decision making.
Partner with IT and business leaders to prioritize initiatives based on value, effort, and organizational readiness.
Establish and maintain data governance practices that ensure data quality, consistency, and appropriate access across the organization.
Oversee data integration across enterprise systems such as ERP, CRM, and commercial and supply chain platforms.
Engage with strategic leaders and C-suite to evangelize data & AI best practices and develop enabling relationships for the team.
Drive adoption of analytics tools and platforms, including automation and AI, to enable data-driven decision making and forecasting.
Establish best practices for analytics methodologies, insight generation, and knowledge sharing across the organization.