Senior Manager, Enterprise Data & Analytics

ICM Ventures • Colwich, KS

1d

About The Position

The Senior Manager, Enterprise Data & Analytics, leads the company’s data and analytics strategy, transforming operational and financial data into actionable business insights. The role designs and manages enterprise data architecture, develops data lakes using Microsoft Fabric, creates and maintains Power BI reporting solutions, and partners with business leaders to establish KPIs that improve decision-making across the organization. The position combines technical expertise with an understanding of construction, engineering, project management, manufacturing, and financial operations, and develops self-service reporting solutions that support accountability, visibility, and performance improvement.

The role leads ICM’s enterprise analytics roadmap and ecosystem, including Microsoft Fabric, Power BI, data warehouses, data lakes, and related technologies. It establishes scalable architecture, integration standards, reporting frameworks, data governance standards, trusted KPI definitions, and reporting practices. The Senior Manager delivers dashboards and analytical solutions, enables self-service analytics through training and documentation, and translates complex data into actionable recommendations. The position also develops internal analytics resources, manages external partners and vendors, and builds capabilities and operating models to support organizational growth.

Requirements

• Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Engineering, Finance, Business Administration, or a related field.
• At least 5 years of experience in business intelligence, analytics, data engineering, or related disciplines.
• At least 5 years of progressive experience, including at least 2 years directly leading, mentoring, or coordinating technical staff such as data engineers and report developers.
• Advanced experience with Microsoft Fabric and Power BI.
• Strong experience designing enterprise data models, data lakes, and reporting architecture using best practices.
• Strong hands-on proficiency in SQL.
• Working knowledge of Python and/or related languages for data transformation and analysis.
• Experience designing and maintaining ETL/data pipelines using tools such as Fabric Data Factory or SQL Server Integration Services (SSIS).
• Working knowledge of data governance, data security, access control, and regulatory or compliance considerations for financial and HR data.

Nice To Haves

• Experience integrating with Microsoft D365 Finance & Supply Chain, AX2012, and the Azure data ecosystem, including Azure Data Lake Storage and OneLake.
• Relevant Microsoft certifications, such as Fabric Analytics Engineer, Power BI Data Analyst, or Azure Data Engineer.

Responsibilities

• Develop and execute ICM’s enterprise data and analytics roadmap.
• Partner with executive leadership to align analytics investments with business objectives and growth priorities.
• Establish priorities, success measures, and adoption targets for enterprise analytics initiatives.
• Evaluate and champion emerging analytics and AI capabilities to improve decision-making and business performance.
• Lead ICM’s enterprise analytics ecosystem, including Microsoft Fabric, Power BI, data warehouses, data lakes, and related technologies.
• Establish scalable data architecture, integration standards, and reporting frameworks.
• Partner with IT on analytics platform security, reliability, governance, and lifecycle management.
• Lead modernization efforts to migrate from legacy reporting and data environments.
• Establish enterprise standards for data quality, stewardship, ownership, and metric consistency.
• Develop and maintain trusted KPI definitions, business rules, and reporting standards.
• Resolve data quality and reporting issues in collaboration with business and technical stakeholders.
• Promote secure, governed, and responsible use of enterprise data assets.
• Deliver trusted reporting, dashboards, and analytical solutions that improve organizational performance and decision-making.
• Partner with Finance and business leaders to identify trends, opportunities, risks, and process improvement initiatives.
• Enable self-service analytics through user training, documentation, and adoption programs.
• Translate complex data into meaningful business insights and actionable recommendations.
• Lead and develop internal analytics resources while fostering a high-performance, customer-focused culture.
• Manage external partners and vendors to ensure quality delivery and effective knowledge transfer.
• Build scalable analytics capabilities, processes, and operating models to support continued organizational growth.
• Strengthen collaboration between Business Process Optimization, Finance, IT, and operational teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior