McLane is one of the largest and most stable supply chain services leaders in the United States. We’ve been at the forefront of delivering retail and restaurant solutions for convenience stores, mass merchants, drug stores, and chain restaurants for over 125 years. Our vision is to be an agile, innovative, and unified supply chain partner that delivers a superior customer experience, improves the lives of our teammates and community, and produces best-in-class returns.

Drive the discovery, design, and execution of a wide variety of data, analytical, and technology solutions.

This is a hybrid position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX.

BENEFITS:

· Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance

· 401(k) Profit Sharing Plan after 90 days.

· Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more

ESSENTIAL JUB FUNCTIONS/ PRINCIPAL ACCOUNTABILITIES:

· Develop and evolve data technology roadmap to align with evolving business needs and enterprise data strategy, incorporating reference architecture diagrams and canonical models in areas such as:

o Data Management and Quality

o Data Governance

o Data Architecture, Modeling, and Design

o Data Integration

o Data Security

o Master Data and Metadata Management

· Design end-to-end data workflows, defining overall architecture, capabilities, platforms, tools, and governing processes.

· Create, maintain, and communicate strategies for data capabilities and tools.

· Collaborate with cross-functional teams to ensure alignment with enterprise guidelines for security, auditability, data governance, and metadata management.

· Leverage modern data architecture by utilizing designs such as data mesh, data fabric, and data virtualization.

· Define and improve best practices, guidelines, and integration with other enterprise solutions.

· Apply and integrate AI and ML to data management, including Large Language Models (LLM) and neural networks, for:

o Data Discovery

o Data Quality

o Data Accessibility

o Data Security

· Monitor technology trends, discover new tools and capabilities of interest.

· Benchmark data and technology capabilities with industry analysts and other companies.

· Maintain strategic relationships with technology vendors and external communities/partners.

· Lead education and training for data and analytics community.

· Provide strategic decision-making guidance within technical disciplines, respond to disruptive data technologies, and solve unique and complex problems.

· Define data strategies by supporting business function needs and goals through information delivery and data exploration.

· Other duties may be assigned.

MININMUM QUALIFICATIONS AND REQUIREMENTS:

· Bachelor’s degree in computer science, information technology, or a related field.

· Five or more years of experience in designing and implementing data architectures and complex, high-quality data and analytical solutions.

· Two or more years in designing data architectures, detailed workflows, best practices, and governance guidelines and advising on necessary technologies.

· Experience designing and developing enterprise data and analytical solutions, including ETL, cloud architecture, and data design.

· Knowledge of data modeling (e.g., Dimensional, Relational, Star Schema).

· Familiarity with cloud-first architecture.

· Ability to phase the delivery of data and analytical solutions to meet immediate needs while building towards long-term strategic solutions (e.g., data mesh, data fabric, data products/domains, artificial intelligence/machine learning).

· Understanding of holistic enterprise architecture and the interplay of analytical components with foundational components. (data architecture/governance, security, etc.)

· Strong communication skills to convey complex technical concepts.

· Strong analytical and problem-solving skills.

· Skill in developing and exercising cross-functional influence, aligning business and technical teams around a common architecture vision.

· Ability to switch effortlessly from summary views for leadership to hands-on discussions with practitioners.

WORKING CONDITIONS:

· Office environment.

· The job will be considered as a hybrid position.

Candidates may be subject to a background check and drug screen, in accordance with applicable laws.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.