Sr. Director, Data & Analytics

Paycom - ATS; Memphis (TN); On-site; USD 180,000 - 280,000; Full time

Job summary

Paycom - ATS in Memphis, TN seeks a Senior Director of Data & Analytics to drive enterprise data strategy, governance, and manufacturing intelligence across platforms and ERP integrations. You will lead a team of data engineers, BI professionals, and architects to deliver trusted data, scalable analytics, and data-driven decision-making enterprise-wide.

Collaborate with Finance, Operations, and IT to align data initiatives with business goals, ensuring quality, security, and value realization at

Qualifications

• Bachelor's degree requirement as stated in the ad.
• A Master's degree preferred.
• Experience with data governance and analytics delivery.

Responsibilities

• Own the enterprise data and analytics strategy, including modern data platforms, reporting capabilities, governance, and manufacturing intelligence enablement.
• Establish governance, data standards, data quality practices, and analytics delivery processes.
• Partner with senior leaders to align data initiatives with corporate objectives and drive adoption of trusted data.

Skills

Data strategy

Leadership

Data governance

Cloud data platforms

Data modeling

BI delivery

Stakeholder management

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field

Master’s degree in Information Systems, Data & Analytics, Business Administration, Engineering, or related field

Tools

Microsoft Fabric

Job description

The Senior Director, Data & Analytics leads the enterprise data and analytics strategy and organization, with responsibility for data platforms, data engineering, business intelligence, governance, reporting, and manufacturing intelligence. This role establishes the capabilities, partnerships, and governance needed to deliver trusted enterprise data, integrate plant operational data with ERP and other business information, and enable improved decision-making, operational performance, digital transformation, risk reduction, and scalable growth.Essential Duties and Responsibilities:Own the enterprise data and analytics strategy, including modern data platforms, reporting capabilities, governance, and manufacturing intelligence enablementEstablish and govern data standards, data quality practices, reporting definitions, semantic models, and analytics delivery processes to improve consistency and trust in enterprise dataPartner with Finance, HR, Commercial, Operations, Legal, and IT leadership to align data and analytics priorities with corporate objectivesLead the acquisition, integration, contextualization, and governance of manufacturing and operational technology data from plant systems, including SCADA, historians, MES, quality, maintenance, and production systems, and integrate this information with ERP and other enterprise application data to enable manufacturing intelligence and operational decision-makingLead the development and modernization of the enterprise data platform, including Microsoft Fabric capabilities, business intelligence solutions, scalable data integration patterns, and plant-level analytics capabilitiesBuild, lead, and develop a high-performing data and analytics organization encompassing data engineering, business intelligence, analytics, and data architecture capabilitiesEstablish and manage the enterprise data and analytics roadmap, prioritizing investments and delivery commitments based on business value, operational impact, risk, resource capacity, and strategic alignmentOversee vendor evaluations, tool selection, and modernization initiatives related to data engineering, analytics, reporting, and manufacturing intelligenceNOTE: This list presents only the principal duties of the position and is not intended to be comprehensive. The duties and responsibilities listed above may be changed or supplemented at any time per business needs and conditions.Required education:Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related technical fieldPreferred qualifications:Master’s degree in Information Systems, Data and Analytics, Business Administration, Engineering, or a related fieldRelevant professional or technical certifications in data management, cloud data platforms, analytics, project delivery, or agile leadershipRequired experience:10+ years of progressive experience in data, analytics, business intelligence, data engineering, data architecture, enterprise reporting, or related technology disciplines5+ years of experience leading data engineering, business intelligence, analytics, architecture, or multidisciplinary technical teams, preferably within complex or multi-site organizationsExpertise in cloud data platforms, data architecture, data governance, data modeling, enterprise reporting, data integration, and modern business intelligence delivery practicesDemonstrated success partnering with senior leaders to establish data-driven strategies and drive adoption of trusted data, governance standards, and enterprise analytics capabilitiesExperience supporting manufacturing, supply chain, plant operations, or other industrial environments preferred