Director Data Management and Analytics

Otter Products is hiring for a Director, Data Management and Analytics to join our team in Fort Collins, CO. Employees based in the Greater Fort Collins Area will work onsite at our HQ Campus. Those living in the surrounding area can work a hybrid schedule, working at the HQ Campus three days per week (Tuesday, Wednesday & Thursday).

The Director, Data Management and Analytics defines the data and analytics strategy and data governance program for the organization. In this role you will manage the Global Data team and lead in the planning, evaluation, and selection of the right data science capabilities for the enterprise while ensuring distributed analytics staff have the best data and analytics skills, processes, and technologies possible. The Director, Data Management and Analytics serves as an advisor to the leadership team to develop and deliver enterprise-wide solutions for complex data challenges, including developing and applying algorithmic models to derive insights, improving decision making abilities, and automating processes. This is a people leader position.

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. To support these endeavors, collaborate with the CIO to ensure that digital products are released on time, on budget and with high quality. Be a champion for the information services and related D&A capabilities.

• Support and maintain a positive safety culture by being an active leader in all safety program initiatives
• Other duties as assigned

• Bachelor's degree in Mathematics, Statistics, Data Science, Analytics, Computer Science or related fields; master's preferred. Experience in lieu of degree may be considered.
• Minimum of ten 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
• Minimum of four years of experience in a leader/supervisor/mentor/manager role required.