Director Supply Chain Analytics

Position Purpose:

The Director of Supply Chain Analytics role requires critical thought leadership focused on developing analytical processes, tools, and strategy for driving improved performance throughout the supply chain. This role is responsible for managing a large organization that spans a wide-range of functional and technical skillsets by setting a compelling strategic vision for the organization. This role helps to direct large-scale analytical initiatives driving tangible results at meeting and exceeding the supply chain's specific financial targets. The role requires considerable analytical and technical skills while being able to effortlessly use complex analytical processes and then effectively describe those processes to executive audiences.

Key Responsibilities: ? 30% Manages, develops, and maintains a large team dedicated to analytics projects throughout numerous elements of the supply chain. ? 30% Develops, plans and implements department's goals and objectives; recommends and administers policies and procedures; coordinates department's activities with those of other THD and SC departments. ? 20% Establishes short and long range capital plans and executes projects in a timely and fiscally responsible manner with utmost customer satisfaction. ? 20% Provides sophisticated and scalable solutions when confronting challenging analytical and technical challenges.

Direct Manager/Direct Reports:
? This position reports to Senior Director or Vice President.
? This position has 0-4 direct reports.

Travel Requirements: ? Typically requires overnight travel 5% to 20% of the time.

Physical Requirements: ? Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
? Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications: ? Must be eighteen years of age or older. ? Must be legally permitted to work in the United States.

Preferred Qualifications: ? Work experience in data mining, statistical analysis, and/or forecasting. ? A Master's degree in Analytics, Engineering, Math, Statistics, or related quantitative field. ? Advanced technical skills to retrieve, manipulate, analyze and interpret large amounts of data (>1 billion rows). ? Experience managing large analytical/technical teams (>10+ associates). ? Prior direct experience working within a supply chain doing analytical work. ? B.S. in Computer Science, Math, Engineering, or related quantitative field. ? Work experience with SQL Server, Teradata, Oracle, or comparable database systems. ? Expert knowledge in large scale information retrieval and statistical analysis.

Minimum Education:
? The knowledge, skills and abilities typically acquired through the completion of a associate's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
? No additional education

Minimum Years of Work Experience:
? 7

Preferred Years of Work Experience:
? No additional years of experience

Minimum Leadership Experience:
? None

Preferred Leadership Experience:
? None

Certifications:
? None

Competencies:
? Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.
? An unquenchable intellectual curiosity for getting at the underlying story being told within the data.
? A deep knowledge in scalable procedure development, data governance models, analytical tools, processes, and methodologies.
? Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
? A clear and demonstrated ability of articulating a compelling vision for the use of analytics and technology within a Supply Chain organization.
? Unmatched ability at building and developing exceptionally talented analytical and technical teams by creating an environment that fosters associate development as a chief priority.

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