Director, Enterprise Data Management & Analytics Platforms

Reposted 6 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Food
The Role
The Director oversees enterprise data and analytics platforms, ensuring strategic alignment, operational integrity, and development of data capabilities. They lead a team, manage vendor relationships, and drive AI-driven insights while ensuring compliance and governance.
Summary Generated by Built In

Your Opportunity as the Director, Enterprise Data Management & Analytics Platforms  

The Director, Enterprise Data Management & Analytics Platforms is responsible for the strategy, delivery, and ongoing operation of the company’s enterprise data, analytics, and AI platforms. This role serves as the single point of accountability for data platform capabilities across the enterprise, enabling scalable, trusted, and secure analytics in support of business growth.

Operating within a highly matrixed, publicly traded environment, this leader partners across IT and multiple business functions to deliver platform‑first data capabilities, while ensuring alignment with enterprise technology standards, controls, and financial governance.

This role leads a multi‑disciplinary organization of approximately 20 professionals and plays a critical role in positioning the company for AI‑driven decision‑making at scale.

Location: Orrville, OH (Close proximity to Cleveland/Akron)  

Work Arrangements: Hybrid - onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires

In this role you will:

Enterprise Data & Analytics Platform Strategy

  • Own the enterprise data and analytics platform vision, strategy, and roadmap ensuring alignment to corporate priorities.

  • Establish and manage an insights delivery operating model to ensure adherence to enterprise standards while allowing for domain-specific analytics needs.

  • Drive ROI‑based prioritization and value realization across platform investments.

  • Define and promote practices that prioritize reusable, scalable, and governed data and analytics capabilities over point solutions.

  • Evolve the technical capabilities for the data and analytics platform in alignment with key initiatives and applicable corporate policies.

  • Establish enterprise standards for cloud data platforms, data integration, analytics tooling, and AI/ML enablement.

  • Partner with Enterprise Architecture and Infrastructure teams to ensure technology alignment, resilience, cost transparency, and scalability.

  • Manage vendor contracts, relationships and investment process.

People Leadership & Organization Management

  • Lead and develop a team including managers and senior technical leaders.

  • Build organizational capability through talent development, coaching, and succession planning.

  • Establish performance management, capacity planning, and operating rhythms aligned to enterprise expectations.

  • Manage change with Senior IT and Business Leadership.

Data Engineering & Platform Operations

  • Lead all enterprise data engineering functions, including ingestion frameworks, transformation patterns, scheduling, and orchestration.

  • Own platform administration and reliability, ensuring uptime, performance, cost efficiency, and operational maturity.

  • Implement DevOps and DataOps best practices for deployment, monitoring, and incident management.

  • Ensure platforms meet SOX, audit, security, and regulatory requirements expected of a public company.

Data Architecture, Modeling & Integration

  • Define and govern enterprise data architectures to maintain overall consistency.

  • Accountable for the development of data models and semantic layers to support reporting, analytics, and self‑service.

  • Drive integration across ERP, CRM, Supply Chain, Finance, Consumer, and syndicated data sources.

  • Balance local business needs with enterprise‑level scale and reuse in a matrixed organization.

Data Enablement, Quality & Trust

  • Own the enterprise data enablement strategy and operating model, including governance, stewardship, metadata management, lineage, and quality.

  • Maintain authority and accountability for core data assets and analytic assets used for decision making.

  • Partner with Legal, Security, Privacy, and Compliance teams to ensure proper data usage, retention, and protection.

  • Implement automated data quality and observability practices to improve trust and adoption.

MLOps, AI & Advanced Analytics Enablement

  • Establish enterprise MLOps capabilities to support model development, deployment, monitoring, and governance.

  • Enable Data Science and Analytics teams with standardized, scalable AI and advanced analytics platforms.

  • Partner with IT & business leaders to accelerate adoption of AI and analytics‑driven insights.

  • Foster a culture of accountability, innovation, and continuous improvement.

The Right Place for You

We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in our Basic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs.

What we are looking for:

Minimum Requirements:

  • 12+ years of experience in data, analytics, or enterprise technology, with significant leadership experience

  • Enterprise‑level strategic thinking

  • Experience with modern cloud data architecture, platform operations, and data engineering practices

  • Experience managing large, multi‑layered teams and operating in a matrixed organization

  • Strong understanding of financial governance, SOX controls, and audit requirements as they relate to data platforms

  • Demonstrated ability to partner with senior executives and business leaders

  • Build influence and foster collaboration across organizational boundaries

  • Strong financial and risk management acumen

  • Ability to translate platform capabilities into measurable business value

  • Ability to interpret analytics requirements from business teams and partner collaboratively with key stakeholders to determine right-sized analytics tools and solutions

Additional skills and experience that we think would make someone successful in this role (not required):

  • Experience in CPG, Retail, Manufacturing, or Consumer‑centric enterprises

  • Hands‑on experience enabling AI, advanced analytics, or machine learning platforms

  • Experience collaborating with Analytics and Data Science teams and basic activities and deliverables

  • Proven success leading enterprise‑scale data or system platforms

Follow us on LinkedIn® 

Top Skills

AI
Analytics Tooling
Cloud Data Architecture
CRM
Data Engineering
Dataops
DevOps
Erp
Mlops
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The Company
HQ: Orrville, OH
5,001 Employees

What We Do

Each generation of consumers leaves their mark on culture by establishing new expectations for food and the companies that make it. At The J.M. Smucker Co., it is our privilege to be at the heart of this dynamic with a portfolio that appeals to each generation of people and pets with products found in 90 percent of U.S. homes and countless restaurants. This includes a mix of iconic brands consumers have always loved such as Folgers®, Jif® and Milk-Bone® and new favorites like Café Bustelo®, Smucker’s® Uncrustables® and Rachael Ray® Nutrish®. By continuing to immerse ourselves in consumer and pet parent preferences for food, how it’s purchased and how the companies that make it should operate, we will maintain the important role we play in their lives. This will allow us to continue growing our business and the positive impact we have on all of those who count on us.

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