To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

• Defining Data & Analytics Strategy: Identifies and standardizes the use and governance of data and analytics. This includes the governance of data and algorithms used for analysis, analytics applications and automated decision making. Creates value by unlocking and sharing data and information in ways which will spur innovation.
• Establishing Data Governance: Cascades from data strategy into data governance to promote data access, quality, and analytical capability. Governance can include a knowledge worker training program, a data stewardship model, and data standards. Develops and maintains controls on data quality, interoperability, and sources to effectively manage risk associated with the use of data and analytics. Strives to reduce the cost of managing data and increase the value of the data.
• Identifying and Defining Data & Analytics Investments: Works with business and IT leaders to identify areas of technical needs for future data science capabilities. Drives the development and deployment of the data and analytics platform. Identifies and prioritizes business projects and enterprise data initiatives utilizing data science capabilities.
• Advising and Reporting: Serves as the Data Analytics technical advisor. Represents the D&A team and enterprise data stewards at leadership meetings and conferences. Develops and gives oral presentations on the power and value of data. Leads and/or serves on steering committees and helps leadership use its data effectively at these meetings.
• Facilitating Internal and External Collaboration: Collaborates with industry data experts to allow a proactive approach to improving insights derived from various data sources. Applies expert knowledge and mastery of advanced mathematics/statistical/computer science methods, theories, and standards to analyze enterprise results and reports, relevant external publications, and conference papers. Recommends and pursues collaboration and provides appropriate technical guidance to ensure the success of such collaborations. Interacts with business areas and IT on D&A solutions.
• Identifying Opportunities for New Data Products: Lead strategy development for D&A products to ensure the program becomes pervasive throughout the organization and helps enable new revenue streams. Be a champion for the information services and related D&A capabilities.

KNOWLEDGE / SKILL REQUIREMENTS:

The ideal candidate will demonstrate:

• Ability to define strategic initiatives and oversee the development of long-term plans and proposals
• Ability to effectively coordinate, allocate, and manage resources and projects throughout multiple teams
• Knowledge of trends and developments in the fields of data management and data analytics
• Information management and quantitative skills, including working knowledge of IT infrastructure, various technologies/platforms, and enterprise-specific vendor solutions
• Industry-specific knowledge of data security protocols, policies, and regulations
• Exceptional analytical, written, oral, and presentation skills with proven track record of effectively communicating actionable insights
• Exemplary diplomatic skills and ability to help senior business leaders see value, opportunities, and risks beyond their own area of expertise
• Ability to understand problems from a broad perspective and anticipate the impact of administrative issues and solutions
• Strong integrity, and trust.
• Strong verbal and written communication, presentation and listening skills.
• The ability to deal with ambiguity and drive change within and around the organization.
• Strong problem-solving skills.
• Strong negotiation and project management skills.
• Business acumen in manufacturing and distribution operations.
• The ability to lead effective teams and develop direct reports.

EDUCATION and/or EXPERIENCE

The successful candidate will hold a degree in Mathematics, Statistics, Data Science, Analytics, Computer Science or a related field.

• At least 8 years of progressively responsible relevant experience in data management, including creating partnerships, implementing data governance, and understanding the underlying technologies needed to enable data innovation across a midsized or large organization
• Experience in computer programming, query languages, and internet-based data visualization platforms are also preferred
• Demonstrated experience with developing data strategy, policies, and procedures, as well as successfully executing programs that meet or exceed expectations in a dynamic environment; experience creating tools and capabilities to assist with data discovery & collaboration, ensure data quality, and to load, clean, enrich, manage, and share data and metadata from a variety of sources
• Familiar with big data technologies (e.g. Snowkflake, Databricks, AWS Redshift)
• Strong understanding of medallion data architecture and use of tools for data ingestion

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Rite-Hite is the global leader in the manufacture and distribution of industrial loading dock and door equipment. Our innovative products and world class sales organization ensure solid, consistent growth, both for our company and our staff. We are always looking ahead to develop innovative new products and services to improve our customers' safety, security, and productivity.

Rite-Hite provides competitive compensation and a comprehensive benefits package with medical, dental, and vision coverage along with life and paid medical leave. We also provide a retirement savings plan that combines 401(K) with company match and profit sharing. Paid holidays, vacation, and up to five paid personal/sick days per year round out the package.

Rite-Hite is an Equal Opportunity/Affirmative Action employer offering a drug free workplace for our customers and employees.