What are the responsibilities and job description for the SR DATA AND ANALYTICS MANAGER position at Wild Fork?
Description
Senior Manager – Data and Analytics
Responsibilities
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.
- 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 experience leading cross functional teams
- 5 experience directly leading technical teams, including software development
- Experience in CPG, retail, food & beverage, or other consumer-focused industries is strongly preferred
- 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.