Director, IT Data & Analytics at Campbell Soup Company (Philadelphia, PA)

The IT Data and Analytics Team is created to deliver automated, scalable and disruptive insights to the businesses we are servicing. The position, Director, US Meals & Beverages Data and Analytics Leader must demonstrate a high level of autonomy, flexibility and agility to work across brands, categories and initiatives. Lead measurement of marketing effectiveness and foresight using advanced predictive analytics. Collaborate with cross-functional partners in Marketing, Sales, Demand Planning and Product Development to provide action-oriented insight and solutions. The job entails working on a variety of topics such as: marketing program evaluation, marketing mix model, advanced & predictive analytics and identifying drivers of demand trends and business results. As the most senior person in the IT D&A group, this person will also have responsibility for managing the following analysts: 1 in the US Meals & Beverages business, 1 in Sales and 1 in Supply Chain.

Primary Responsibilities:

• Lead the development of advanced analytical approaches to enhance profitability and optimize amount and mix of spending on marketing (Advertising and Consumer Promotion) activities.
• Provide a comprehensive understanding of drivers of brand performance. Develop and enhance analytic frameworks for evaluation of brand performance and category planning.
• Support monthly, quarterly business reviews with senior leadership and provide a comprehensive understanding of consumption drivers based on deep insight. Explain the trends with non-technical, simplified interpretation and integration of insights.
• Consult with brand marketing teams to incorporate analytics and business intelligence in strategic planning, development of tactical solutions, campaign/promotion planning and brand/category management. Be the subject matter expert on syndicated POS and consumer behavior data.
• Participate in development of new tools to quantify the impact of consumer, customer and brand drivers on business performance. Help design standardized processes to produce scorecards and KPI.
• Work with company executives, CMOs, Presidents, Sales to make sure we are delivering a cohesive action plan working across functional silos and delivering to the highest company priorities
• Manage embedded junior analysts work plans across the different domains, making sure they are working also cohesively on the highest priorities, removing barriers, ensuring technical development and retention.
• Manage relationships with vendor partners for quality delivery and impactful insights.

Job Complexity:

• Partner with various levels of Marketing, Finance and Sales management to determine the insight/information requirements of each level, formulate an analytic approach and framework to ensure that each level has regular access to information/insight appropriate to their responsibility.
• Be hands-on with detailed data mining to identify demand drivers that explain business performance
• Manage relationships with vendor partners to maintain quality, relevance and timely delivery of reports and analysis
• Proven leadership on analytics, information interpretation, and business building implications.

Minimum Requirements:

• BS in Quantitative discipline, MS highly preferred
• Minimum of 10+ years of experience in marketing analytics, planning or forecasting with increasingly responsible positions. Consumer packaged goods experience with manufacturer, research supplier, agency/retailer is required.
• Expert knowledge of IRI / Nielsen syndicated data
• Strong Business Acumen and knowledge of advanced analytics in consumer packaged goods (CPG). Mastery of total business knowledge in CPG, including retail environment - all elements of strategies and tactics.
• Possesses excellent problem definition, integrated solutions, and communication skills for effective advocacy and influencing the internal customer teams. Excellent Analytical Skills and ability to translate data / business insight for non-technical audience.  
• Working knowledge and aptitude for information systems. Experience using statistical modeling packages, SPSS, JMP, SAS, etc.
• Experience using open source statistical technologies: R, Python, highly preferred
• Demonstrated Strong Data Visualization skills using Tableau, Domo, Spotfire or equivalent.
• Strong Communication Skills: can explain complex concepts in simple ways.
• Experienced and effective in working with and influencing senior management.

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