Job description

Glencoe Diversified Holdings, LLC (“GDH”) is a conglomerate engaged in Specialty Chemicals, Insurance, Education, Energy Services, Manufacturing, and Business Services. GDH’s portfolio consists of, but is not limited to, the following operating companies: Dixie Chemical Company, Inc., American Carbonyl, LLC, Champlain Insurance Group, Child Development Schools, Fortis Energy Services, Inc., Campbell Grinder Company, and Neon Solutions Services. Position Summary The Director of BI and Data Management will be responsible for establishing, evolving, and executing a comprehensive data strategy that ensures data quality, accessibility, security, and strategic value across the organization. This role requires a blend of technical expertise, strong leadership, and a deep understanding of how to translate complex data into actionable insights that empower data-driven decision-making. The Director will lead a team of BI professionals and data stewards, fostering a data-centric culture and driving operational excellence .Key Skills & Responsibilities • 1. Strategy Development & Execution: • Develop and implement a robust enterprise-wide BI and Data Management strategy aligned with organizational goals and objectives. • Create and maintain a clear roadmap for BI capabilities, analytics projects, and data management initiatives. • Champion the adoption of data literacy and data stewardship across all departments. • Team Leadership & Development: • Build, mentor, and manage a high-performing team of data analysts, BI developers, data engineers, and data governance specialists. • Foster a collaborative and data-driven team culture that encourages innovation and continuous learning. • Set clear team objectives, performance metrics, and provide regular feedback and professional development opportunities. • Data Governance & Quality: • Establish and enforce enterprise data governance policies, standards, processes, and workflows to ensure data accuracy, completeness, consistency, and security. • Oversee the implementation of Master Data Management (MDM) solutions and data quality frameworks. • Conduct regular data audits and implement best practices for data lifecycle management. • Business Intelligence & Analytics: • Oversee the design, development, and delivery of BI solutions, including dashboards, reports, and analytical models, to provide actionable insights to stakeholders. • Collaborate with business units to identify key performance indicators (KPIs) and develop metrics that measure business performance. • Leverage advanced analytics techniques, including predictive and prescriptive modeling, to uncover trends, patterns, and opportunities. • Stakeholder Management & Communication: • Serve as a key liaison between business stakeholders, IT, and data teams, translating business needs into technical requirements and vice versa. • Effectively communicate complex data insights, strategies, and recommendations to executive leadership and non-technical audiences. • Build strong relationships with internal stakeholders to understand their data needs and priorities. • Technology & Infrastructure: • Evaluate, select, and implement appropriate BI and data management tools and technologies. • Ensure the scalability, reliability, and security of the data infrastructure and BI platforms. • Stay abreast of emerging trends and best practices in BI, data analytics, and data management. • Relationship management and Scalability: • Work with a cross functional team of Presidents, VPs and directors to pull together the reporting requirements from a single entity as well as an enterprise level • Proven track record in building, scaling reporting mechanisms to a best in class capability • Bachelor's degree in Computer Science, Data Science, Information Technology, Business Analytics, or a related quantitative field. Master's degree preferred. • Minimum of 7-10 years of progressive experience in Business Intelligence, Data Management, and Data Analytics, with at least 3-5 years in a leadership or management role. • Proven track record of developing and implementing successful enterprise-level data strategies and data governance frameworks. • Extensive experience with BI tools (e.g., Tableau, Power BI, Qlik, Looker) and data warehousing concepts. • Strong understanding of data management principles, including data architecture, data modeling, ETL processes, data quality, and MDM. • Proficiency in SQL and experience with various database technologies. Experience with cloud data platforms (e.g., AWS, Azure, GCP) is a plus. • Demonstrated experience leading and mentoring cross-functional teams of data professionals. • Excellent analytical, problem-solving, and critical-thinking skills. • Exceptional communication, presentation, and interpersonal skills, with the ability to influence and engage stakeholders at all levels of the organization. • Strong understanding of software development lifecycle methodologies and IT best practices. • Experience in insurance and petro-chemical is a plus.

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