Director OF Data AND Analytics - Insight Global : Job Details

Insight Global is seeking a Director of Data and Analytics for our manufacturing customer to sit hybrid onsite in Milwaukee, WI. To perform this job successfully, an individual must be able to perform each essential duty below 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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

Experience in computer programming, query languages, and internet-based data visualization platforms 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 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