Senior Manager Reporting Analytics and AI Enablement

Bimbo Bakeries USA•Bentonville, AR

5d•$126,100 - $176,500

About The Position

The Senior Manager, Reporting, Analytics & AI Enablement leads the organization's business intelligence, reporting, analytics, automation, and AI initiatives. The role uses modern BI and data platforms, advanced analytics tools, cloud-based data environments, and AI technologies such as Microsoft Copilot to deliver actionable insights, improve business performance, and create scalable, data-driven solutions across the enterprise. The position builds and maintains reporting and analytics solutions; integrates data from enterprise, customer, retailer, syndicated, financial, and operational systems; and develops automated workflows and data pipelines. It analyzes business performance and customer opportunities, produces dashboards and analytical models, supports planning and forecasting, and ensures data quality and governance. The role also leads, mentors, and develops an analytics team, while managing priorities, workloads, and resources.

Requirements

Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, Finance, Information Systems, Computer Science, or a related field.
7+ years of experience in business intelligence, reporting, data analytics, or related disciplines.
3+ years of leadership experience managing analytics, reporting, or business intelligence teams.
Expert-level proficiency in Microsoft Power BI and other reporting software.
Advanced Microsoft Excel skills, including Power Query, Power Pivot, complex formulas, and analytical modeling.
Strong experience with Python for data transformation, automation, reporting, and analytics.
Experience working with SQL and relational databases.
Strong knowledge of data modeling, visualization best practices, and dashboard development.
Excellent communication and presentation skills, including the ability to explain complex analytics to non-technical audiences.
Proven ability to manage multiple projects and stakeholders in a fast-paced environment.
Ability to proactively identify needs and opportunities and establish plans to address them.
Ability to create and implement programs for the area of responsibility.
Ability to collaborate and align with internal and external stakeholders.
Curiosity and willingness to investigate root causes of in-market performance results.
Ability to use feedback and reflection to gain insight into personal strengths and weaknesses.
Ability to build partnerships and work collaboratively toward shared objectives.
Willingness to take on opportunities and challenges with urgency, energy, and enthusiasm.
Understanding of the business and organizational environment and interest in adapting to its culture and ways of working.

Nice To Haves

Experience supporting Customer Development, Sales, Category Management, Revenue Growth Management, or Consumer Packaged Goods organizations.
Experience with retail POS data, syndicated data platforms such as Circana, NielsenIQ, or SPINS, and customer reporting.
Knowledge of Microsoft Fabric, Azure Data Services, Databricks, Snowflake, or cloud analytics platforms.
Experience with machine learning, forecasting, and predictive analytics.
Power BI, Microsoft Data Analyst, or related analytics certifications.
Knowledge of Microsoft Copilot, Copilot Studio, generative AI applications, prompt engineering, Power Platform, and automation solutions.
Scintilla knowledge.
Knowledge of Python and SQL.

Responsibilities

Build and maintain scalable reporting and analytics solutions using modern cloud-based data and analytics platforms.
Integrate and manage data from ERP, CRM, retailer, syndicated, financial, and operational systems.
Use Python, SQL, Databricks, Microsoft Fabric, Power Platform, and related technologies to automate reporting and analytical workflows.
Partner with technology teams to establish efficient data architectures, pipelines, governance frameworks, and system integrations.
Drive automation initiatives that reduce manual reporting and improve productivity, efficiency, accuracy, and refresh performance.
Analyze large and complex datasets to identify performance trends, risks, opportunities, and actionable recommendations.
Deliver insights concerning sales performance, customer development, distribution, pricing, promotions, category performance, and market share.
Conduct root-cause analyses and develop data-driven recommendations for commercial teams and leadership.
Support annual planning, customer reviews, forecasting, and strategic business initiatives.
Create business narratives that transform data into meaningful stories.
Architect and develop enterprise BI solutions, dashboards, and semantic models.
Create and optimize calculations, measures, KPIs, and data models, and design intuitive visualizations that encourage adoption.
Apply performance optimization best practices and support self-service analytics across the organization.
Develop predictive, diagnostic, and exploratory analytical models and frameworks to support business objectives and identify performance drivers and customer opportunities.
Support forecasting, trend analysis, and business scenario modeling; evaluate emerging analytics technologies and recommend solutions.
Ensure data accuracy, reliability, and consistency across reporting platforms.
Develop data validation, testing, and quality assurance processes, and establish documentation, metadata standards, and reporting governance practices.
Lead, mentor, and develop a high-performing reporting and analytics team.
Foster continuous improvement, innovation, and accountability; coach team members on analytical methods, visualization, and business storytelling.
Manage project prioritization, workload balancing, resource planning, and team professional development.
Perform other duties as assigned.