Senior AVP

Position Overview:

We are seeking an experienced and results-driven Senior AVP with a strong background in Consumer-Packaged Goods (CPG), retail operations, and data analytics. The ideal candidate will have a proven track record of leading data-driven initiatives, driving growth through strategic retail partnerships, and optimizing business performance through actionable insights. You will lead a team of analytics professionals and collaborate with internal stakeholders to ensure that our CPG and retail strategies are supported by robust data, analytics, and insights.

Key Responsibilities:

1. Strategic Retail & CPG Leadership:

• Lead the development and execution of retail and CPG strategies that align with the company's growth objectives.
• Collaborate with senior leadership to define key business objectives and design data-driven strategies to achieve them.
• Drive the strategic direction and innovation in retail partnerships, ensuring alignment with business goals.
• Establish strong relationships with key retail partners and stakeholders to enhance collaboration and optimize performance.

1. Analytics & Data-Driven Decision Making:

• Oversee the development of analytical models, forecasting tools, and reporting frameworks to provide actionable insights into retail and CPG performance.
• Drive the use of data analytics to optimize product placement, pricing strategies, promotions, and customer segmentation.
• Utilize advanced analytics techniques such as predictive modeling, market basket analysis, and customer behavior analysis to inform retail strategies and decision-making.
• Ensure that key performance metrics (KPIs) are tracked, monitored, and reported consistently across all channels.

1. Cross-Functional Collaboration:

• Work closely with Marketing, Sales, Operations, and Finance teams to ensure alignment and integration of analytics into business processes.
• Serve as the key analytics partner in the development of go-to-market strategies and new product launches in the CPG and retail space.
• Guide teams in the use of analytics and insights to influence key decisions, from pricing strategies to inventory management.

1. Team Leadership and Development:

• Lead, mentor, and develop a high-performing team of analysts, providing guidance and fostering a culture of continuous learning and innovation.
• Manage cross-functional projects and ensure timely delivery of high-impact insights and recommendations.
• Foster a collaborative environment that encourages creative problem-solving and data-driven decision-making.

1. Industry Knowledge & Trends:

• Stay up-to-date on CPG and retail industry trends, emerging technologies, and best practices in data analytics.
• Anticipate changes in the retail landscape and consumer behavior, providing proactive recommendations to adapt strategies accordingly.
• Leverage knowledge of the competitive landscape to identify new opportunities for growth and optimization.

Qualifications:

• Education: Bachelor's degree in Business, Marketing, Analytics, Economics, or a related field. MBA or advanced degree preferred.
• Experience: 10 years of experience in CPG, retail, and analytics, with at least 5 years in a senior leadership or management role.
• Skills & Expertise:
• Strong experience in CPG and retail operations, including sales, merchandising, and pricing strategy.
• Advanced knowledge of data analytics tools (e.g., SQL, Tableau, Python, R, etc.) and statistical modeling techniques.
• Expertise in retail performance analytics, customer segmentation, and predictive analytics.
• Proven ability to lead cross-functional teams and manage complex projects.
• Strong communication and presentation skills, with the ability to influence senior leadership and stakeholders.
• Experience with digital transformation initiatives in the CPG/retail space is a plus.

Key Competencies:

• Strong leadership and team-building abilities.
• Deep understanding of the CPG and retail industries, including current market trends and challenges.
• High-level proficiency in analytics and ability to translate data insights into strategic actions.
• Strategic thinking with a hands-on approach to execution.
• Excellent communication and stakeholder management skills.