Midwest Executive Search Group
Director of Data Management & Analytics
Midwest Executive Search Group, Boulder, Colorado, United States, 80301
The Director of Data Management & Analytics is a strategic and hands‑on leadership position that was established to define and execute the business’s data and analytics strategy, including data warehouse and data engineering capabilities. The Director partners with all functions to scale analytics across the organization and deliver trusted, compliant, and actionable data products that support operational excellence, regulatory compliance, customer transparency, and actionable insights. This position combines ownership of data strategy and hands‑on facilitation of data ingestion, transformation, modeling, and semantic layers, ensuring high‑quality, well‑governed data flows from ERP system into a scalable analytics platform that supports insightful reporting and decision‑making.
Data and Analytics Strategy
Develop and implement end‑to‑end data and analytics strategy, ensuring alignment with corporate policy, business priorities and regulatory requirements.
Collaborate with IT and Master Data teams to design and implement the business’s data architecture, data warehouse and data engineering capabilities.
Own data ingestion, transformation, modeling, and orchestration processes, ensuring reliable and timely data flows from source systems into analytics platforms.
Data Governance, Analytics & Compliance
Collaborate with IT and Master Data teams to enhance data governance, including data ownership, access controls, and quality standards in alignment with corporate policies
Standardize business analytics, deliver effective dashboards, reports, and self‑service analytics that support operational, regulatory, customer and financial transparency
Translate complex operational and financial data into executive‑level insights and decision‑ready reporting for leadership teams and corporate stakeholders
Establish semantic models and standardize existing metrics to ensure consistency and trust in reporting
Partner with Business Transformation team to drive adoption of analytics technologies and automation tools to improve performance and user experience
Collaborate with Operations Excellence team to continuously evaluate and implement improvements to analytics and delivery models
Qualifications, Skills, and Abilities
Bachelor’s degree in Computer Science or Data Engineering or a related field
Master’s degree or advanced analytics certification required
5+ years of progressive experience in data engineering, business intelligence or data architecture leadership roles
Demonstrated ownership of enterprise data platforms, including data warehouse design and data engineering pipelines
Experience operating in regulated environments
Proven track record delivering executive‑level analytics and scalable BI solutions
Expertise in data warehousing concepts, dimensional modeling, and semantic layer design
Hands‑on experience with SAP data structures and integration (e.g. ECC, S/4HANA, Business Warehouse, or equivalent)
Experience with data platforms and modern BI tools (e.g., Azure, Snowflake, Power BI, Tableau, or similar)
Expertise in data governance, data quality frameworks, and metadata management
Proven ability to lead cross‑functional initiatives and effectively influence stakeholders
Strong communication skills, with the ability to translate technical concepts into business‑relevant insights
Ability to operate effectively in a fast‑paced, matrixed, and regulated manufacturing environment
#J-18808-Ljbffr
Data and Analytics Strategy
Develop and implement end‑to‑end data and analytics strategy, ensuring alignment with corporate policy, business priorities and regulatory requirements.
Collaborate with IT and Master Data teams to design and implement the business’s data architecture, data warehouse and data engineering capabilities.
Own data ingestion, transformation, modeling, and orchestration processes, ensuring reliable and timely data flows from source systems into analytics platforms.
Data Governance, Analytics & Compliance
Collaborate with IT and Master Data teams to enhance data governance, including data ownership, access controls, and quality standards in alignment with corporate policies
Standardize business analytics, deliver effective dashboards, reports, and self‑service analytics that support operational, regulatory, customer and financial transparency
Translate complex operational and financial data into executive‑level insights and decision‑ready reporting for leadership teams and corporate stakeholders
Establish semantic models and standardize existing metrics to ensure consistency and trust in reporting
Partner with Business Transformation team to drive adoption of analytics technologies and automation tools to improve performance and user experience
Collaborate with Operations Excellence team to continuously evaluate and implement improvements to analytics and delivery models
Qualifications, Skills, and Abilities
Bachelor’s degree in Computer Science or Data Engineering or a related field
Master’s degree or advanced analytics certification required
5+ years of progressive experience in data engineering, business intelligence or data architecture leadership roles
Demonstrated ownership of enterprise data platforms, including data warehouse design and data engineering pipelines
Experience operating in regulated environments
Proven track record delivering executive‑level analytics and scalable BI solutions
Expertise in data warehousing concepts, dimensional modeling, and semantic layer design
Hands‑on experience with SAP data structures and integration (e.g. ECC, S/4HANA, Business Warehouse, or equivalent)
Experience with data platforms and modern BI tools (e.g., Azure, Snowflake, Power BI, Tableau, or similar)
Expertise in data governance, data quality frameworks, and metadata management
Proven ability to lead cross‑functional initiatives and effectively influence stakeholders
Strong communication skills, with the ability to translate technical concepts into business‑relevant insights
Ability to operate effectively in a fast‑paced, matrixed, and regulated manufacturing environment
#J-18808-Ljbffr