Director of Data, Analytics & AI

SageNet is a leading managed services provider specializing in connectivity, digital signage, and cybersecurity. We connect, manage, and protect technologies across distributed enterprises, helping customers achieve their business goals. We deliver 24/7/365 support through US-based NOCs and SOCs, diverse teleports, logistics centers, data centers, and a nationwide field service team. What sets us apart is our passion for Trusted Connections—both reliable, secure technology connections and strong human relationships with customers, partners, and communities. With over 30 years of experience, we serve the nation’s largest retail, financial, healthcare, utilities, and energy companies, managing 430,000+ endpoints. Headquarters: Tulsa, with offices in Atlanta and Washington, D.C. WHAT YOU’LL DO We seek a Director of Data, Analytics & AI Solutions to lead our data-driven transformation. This Digital Technology & Innovation (DTI) leadership role requires deep data strategy expertise, hands-on AI/ML experience, and cross-functional leadership. You’ll architect our data, analytics, and AI platform while shaping enterprise technology direction. Major duties and responsibilities: DTI Leadership Team Member: Serve as key DTI department leader, contributing to technology strategy, innovation roadmap, and departmental direction while influencing SageNet's digital transformation Cross-Departmental Strategy: Lead data and AI initiatives spanning multiple departments, ensuring collaboration between DTI and Operations, Finance, Sales and other Business units Enterprise Technology Influence: Shape SageNet's technology strategy through strategic planning participation, architecture decisions, and innovation initiatives Data Strategy Implementation: Execute enterprise data strategy with proven experience establishing data governance, quality frameworks, and organizational transformation Generative AI & Traditional ML: Drive AI initiatives combining generative AI applications (LLMs, document intelligence, automated content) with traditional ML (predictive analytics, anomaly detection, automated decisions) Advanced Analytics Platform: Design comprehensive analytics architecture leveraging Microsoft Fabric (Azure), Power BI evolution, and modern data engineering tooling Enterprise System Integration: Architect scalable data pipelines using modern tools (Spark, Airflow, Kafka, dbt) integrating SAP, Salesforce, ServiceNow with unified data platforms Power BI Evolution: Extend existing Power BI infrastructure to support advanced analytics and AI-ready data pipelines while maintaining current BI operations Cross-Functional Collaboration & Team Development DTI Integration: Collaborate with DTI infrastructure, security, and application teams ensuring data/AI initiatives align with technology architecture and security frameworks Technical Leadership: Build high-performing data and analytics team through mentorship, training, and career development in AI/ML and data engineering Stakeholder Management: Lead cross-functional relationships with business units to identify data-driven opportunities and ensure AI initiatives deliver measurable value Matrix Leadership: Drive results through influence in complex stakeholder environments, building consensus across departments and organizational levels. WHO YOU ARE To perform this role successfully, the candidate must be able to perform each duty satisfactorily. The requirements listed below are representative of the knowledge, skill, education, and overall experience required for the role. Experience & Leadership Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related technical field 10+ years progressive experience with 5+ years in senior AI/ML, data engineering, and analytics leadership Proven track record establishing or instrumental in establishing enterprise data strategies that enabled AI/ML and advanced analytics 7+ years hands-on AI/ML model development, deployment, and production management 3+ years direct Generative AI experience including LLMs, prompt engineering, RAG systems, and enterprise Gen AI implementation 5+ years people management and cross-functional leadership experience Department leadership experience in technology organizations with proven ability to influence strategic direction Technical Expertise Enterprise Systems: Extensive experience working with SAP (BI, HANA, Analytics Cloud), Salesforce (Analytics Cloud, Einstein), ServiceNow (Performance Analytics, Predictive Intelligence) Power BI & Analytics: Expert-level Power BI experience with enterprise BI architecture, plus Microsoft Fabric or similar unified analytics platforms (Databricks, Snowflake) Generative AI Platforms: Hands-on experience with Azure OpenAI Service, prompt engineering frameworks, RAG systems, and enterprise LLM implementations ML/AI Frameworks: Deep experience with TensorFlow, PyTorch, Scikit-learn, cloud AI platforms (Azure AI preferred), and MLOps practices Data Engineering Tools: Expert-level experience with at least one of the following - Spark, Airflow, Kafka, dbt, and modern data pipeline tools Cloud Platforms: Expert-level Azure (preferred) or AWS/GCP experience with data services and enterprise integration Cross-Functional Excellence: Proven success managing complex stakeholder relationships across IT, operations, finance, and executive teams Strategic Communication: Ability to translate technical concepts into business value for diverse audiences Change Leadership: Experience leading organizational transformation in established organizations with legacy systems Preferred Qualifications Microsoft Fabric implementation experience MSP/Telecommunications industry experience ServiceNow Predictive Intelligence and SAP Analytics Cloud advanced experience Time-series forecasting and anomaly detection for IT/Network operations WHAT WE OFFER Leadership Impact & Strategic Influence Shape SageNet's technology transformation as key DTI department leader with direct CIO reporting and executive leadership team visibility. Drive data and AI strategy across entire organization with significant impact on business operations and competitive positioning. Lead cutting-edge AI and analytics initiatives in the managed services industry with opportunity for industry recognition. Work with advanced technology stack including Microsoft Fabric, Power BI, enterprise AI platforms, and modern cloud architecture. Compensation & Growth Competitive salary based on experience and qualifications. Annual performance bonus tied to initiative success, ROI delivery, and business impact. Budget for training, certifications, conferences, and professional development. Clear path for advancement within DTI leadership and enterprise technology organization. Full health, dental, vision, 401k with company match, flexible PTO, and standard SageNet benefits. Equal Opportunity Employer SageNet provides equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. We provide reasonable accommodations for qualified individuals with disabilities.

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