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CAMPBELL COMPANIES · 1 month ago

Director of Data and AI

Salt Lake City, UT

Full-time

Onsite

Lead/Staff, Director/Executive

5+ years exp

CAMPBELL COMPANIES is focused on digital transformation, and they are seeking a Director of Data and AI to lead the organization’s data and artificial intelligence strategy. This role involves overseeing data governance, engineering, and AI innovation to drive data-informed decision-making across the business.

HardwareMachinery ManufacturingManufacturingTransportation

H1B Sponsor Likely

Responsibilities

Define and execute a unified roadmap that integrates software platforms, data infrastructure, and AI capabilities in alignment with business goals and the broader digital strategy

Champion the adoption of emerging technologies—including AI, machine learning, and cloud-native solutions—to accelerate digital transformation and innovation

Collaborate with business, support functions, and IT leadership to shape the vision for enterprise architecture, establish direction for technology practices, and prioritize strategic investments

Architect, develop, and maintain a secure, scalable, and high-performance data Lakehouse using Microsoft Fabric, built on Medallion Architecture principles (Bronze, Silver, Gold layers)

Establish data modeling standards, practices, and governance for both structured and unstructured data

Define strategies for metadata management, master data management, and data quality frameworks

Utilize Microsoft Purview for comprehensive data governance and compliance

Lead the design, development, and deployment of AI-powered tools, platforms, and solutions for customer/user experience, workflow optimization, and product innovation

Oversee the design and implementation of modern data architectures (e.g., data lakes, data warehouses, real-time pipelines)

Lead initiatives across data platforms, analytics, machine learning, and AI engineering to unlock new capabilities and insights

Establish and enforce architecture standards, governance frameworks, and best practices to ensure consistency, security, and scalability

Translate evolving business requirements into robust technical solutions that align with organizational goals and deliver measurable value

Partner with Digital/IT, Business Intelligence, Continuous Improvement, and key business stakeholders to ensure digital solutions deliver intuitive, high-impact user and customer experiences

Design and implement solutions that enhance digital service delivery, decision-making, and engagement across all digital touchpoints

Leverage data and AI to personalize user experiences, optimize operations, and drive customer satisfaction

Define and implement data architecture standards, models, and frameworks to support enterprise analytics and AI initiatives

Promote the use of data science and advanced analytics to inform strategic decisions across business units and departments

Oversee data governance, analytics, data engineering, and AI innovation, ensuring best practices for data quality, security, and regulatory compliance are embedded in all initiatives and aligned with business goals and ethical standards

Build, inspire, lead, and mentor a high-performing, cross-functional team of engineers, data scientists, and AI specialists

Foster a culture of experimentation, continuous learning, and cross-functional collaboration by providing technical guidance, coaching, and career development that drives innovation, accountability, and continuous improvement

Manage project delivery, resource planning, and budgets across software, data, and AI portfolios

Collaborate across the enterprise—including Digital/IT leadership, Business Intelligence, Continuous Improvement, infrastructure, security, and compliance teams—to ensure alignment and integration of technology initiatives

Articulate the value of data and AI to executive leadership, internal stakeholders, and customers

Influence and educate senior leadership and business partners on AI potential, risks, and ROI

Establish and maintain enterprise-wide architecture standards and governance practices

Ensure all solutions comply with regulatory frameworks, cybersecurity protocols, and internal risk management policies

Establish and enforce data governance policies, including data quality, privacy, and compliance (e.g., GDPR, CCPA)

Promote responsible AI practices, including fairness, transparency, and accountability in model development and deployment

Qualification

Data ArchitectureAI/ML StrategyMicrosoft FabricCloud-native PlatformsData GovernanceMachine Learning PipelinesSQLPythonAgile MethodologiesInterpersonal SkillsProblem-solving

Required

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field is required

Minimum of 5 years in a data and/or AI leadership role (Data Architecture, Data Engineering, Analytics, Machine Learning, AI Engineer, AI Product Manager, etc.)

Extensive experience in solutions architecture, software engineering, and AI systems design, with a proven track record in technical leadership roles

Demonstrated ability to architect and implement complex, scalable solutions using modern technologies such as cloud-native platforms (e.g., Azure, AWS, GCP), microservices, and containerized environments (low-code/no-code platforms)

Deep understanding of software development methodologies including Agile, Scrum, and DevOps practices

Hands-on experience with agentic AI modeling, machine learning pipelines, and generative AI technologies, with a focus on business applications (N8N, Flowise, Langflow, LangChain, LangGraph)

Strong capability to align technical solutions with business strategy, balancing innovation with operational efficiency

Deep understanding of Delta Lake's ACID transaction capabilities and schema evolution for maintaining data quality and auditability

Experience with Parquet file format optimization for analytical workloads and columnar storage

Proficiency in SQL, Python, and data transformation frameworks

Proven problem-solving skills with the ability to navigate ambiguity and drive clarity in complex environments

Exceptional interpersonal and communication skills, with the ability to influence stakeholders, mentor technical teams, and foster cross-functional collaboration

Experience presenting technical concepts to executive audiences and translating business needs into actionable technical roadmaps

Preferred

An MBA or equivalent advanced degree is strongly preferred

Experience with data warehouse tools and Lakehouse platforms beyond Microsoft (e.g., Databricks, Snowflake, Amazon Redshift, Google BigQuery) is a plus

Company

CAMPBELL COMPANIES

Campbell Companies is a holding company which owns and manages a family of businesses with the mission to support those who build our world.

Founded in 2020

Salt Lake City, Utah, USA

1001-5000 employees

https://www.campbellcompanies.com/

H1B Sponsorship

CAMPBELL COMPANIES has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (1)