Director, Commercial Intelligence & Analytics

Suja Life•,

16h•$150,000 - $175,000

About The Position

The Director, Commercial Intelligence & Analytics will lead the development and evolution of the company’s business intelligence capabilities, creating a standardized, scalable, and trusted reporting environment that enables better and faster business decisions. The role brings together syndicated sources, loyalty card platforms, customer inventory systems, and store-level data to create a holistic view of market performance and uncover actionable insights. The Director partners with Consumer Insights and cross-functional business leaders to establish and execute a learning agenda, address complex business questions, and translate data into clear recommendations. The Director will shape AI-enabled capabilities that improve data analysis, insight generation, and recurring reports and presentations. This is both a strategic leadership and hands-on building role, establishing the tools, processes, and data foundation needed to support a more data-driven organization. Success means creating a trusted, scalable intelligence engine that provides consistent reporting, improves data quality, enables deeper learning, and helps leaders answer recurring and emerging business questions.

Requirements

Bachelor’s degree in Business, Analytics, Data Science, Information Systems, or a related field.
8+ years of experience in business intelligence, analytics, data management, commercial analytics, or a related discipline.
Robust experience within the consumer-packaged goods industry and with syndicated data providers such as NielsenIQ, SPINS, and/or Circana.
Demonstrated experience working with syndicated CPG data, loyalty or consumer data, customer inventory data, and/or store-level sales data.
Proven experience building and managing dashboards, reporting platforms, and business intelligence tools.
Experience managing relationships with external data providers and technology vendors.
Proficiency with PowerPoint and other tools used to develop and communicate commercial strategies.
Strong understanding of CPG commercial data, retail analytics, consumer behavior, customer performance, and key business drivers.
Strong understanding of data quality, governance, validation, and integration principles.
Strong communication and presentation skills, including the ability to distill complex analysis into clear recommendations for executive audiences.
Exceptional analytical and problem-solving skills, with the ability to tackle ambiguous and complex business questions.
Ability to operate strategically while remaining hands-on and highly connected to underlying data, tools, and business needs.

Nice To Haves

Advanced degree preferred.
Experience with modern BI, analytics, data visualization, and/or cloud data platforms.
Demonstrated experience or strong interest in applying AI to analytics, reporting, and business processes.

Responsibilities

Lead the design, development, and standardization of business reporting across the organization.
Establish consistent definitions, KPIs, metrics, dashboards, scorecards, and reporting cadences.
Build, maintain, and continuously improve reporting and self-service analytics tools.
Integrate and synthesize syndicated market data, loyalty and consumer data, customer inventory data, and store-level data to provide a comprehensive view of business performance.
Identify opportunities to automate recurring reporting and reduce manual, duplicative work.
Translate complex data and analysis into clear, actionable insights for commercial and executive audiences.
Partner with Consumer Insights to develop and execute an enterprise-wide learning agenda aligned to the company’s strategic priorities.
Bring together diverse data sources to answer complex planned and ad hoc business questions.
Collaborate with Consumer Insights, Sales, Marketing, Finance, and other functions to frame business questions, select data and analytical approaches, and translate findings into recommendations.
Develop analytical approaches that deepen understanding of consumers, customers, channels, products, and market performance.
Help the organization understand why results occurred, what they mean, and what actions should be taken.
Own day-to-day relationships with syndicated data providers and other external data partners, including data delivery, access, issue resolution, and vendor performance.
Serve as an internal subject matter expert on key syndicated data sources and their appropriate application.
Establish data quality controls, validation processes, and governance standards to ensure reporting accuracy and consistency.
Develop standards for data definitions, hierarchies, ownership, documentation, and reconciliation.
Identify and resolve data integrity issues and establish processes to proactively monitor data quality.
Evaluate new data sources and technologies that can strengthen business intelligence capabilities.
Partner with the organization’s AI lead as the commercial data subject-matter expert to develop AI-enabled infrastructure and workflows for reporting, analysis, and presentation development.
Identify and implement AI opportunities to automate recurring reporting, generate insights, summarize performance, and accelerate management presentations and business reviews.
Establish scalable processes and appropriate governance for incorporating AI into business intelligence workflows.
Evaluate emerging analytics and AI technologies and determine where they can create meaningful business value.
Assist the company’s AI lead in developing a roadmap for evolving BI and AI capabilities and democratizing company data.
Serve as a strategic thought partner to senior leadership and cross-functional leaders.
Lead cross-functional initiatives that integrate data, technology, and business expertise.
Build organizational confidence in data by ensuring information is accessible, consistent, accurate, and actionable.
Promote fact-based, data-driven decision-making across the organization.
Work cross-functionally with Category Management, Commercialization, Growth, Consumer Insights, and the broader Sales organization to deliver reporting and insights that drive business decisions.
Manage relationships with external data partners, including syndicated data providers.