SageNet · 4 weeks ago
Director of Data, Analytics & AI
SageNet is a leading managed services provider specializing in connectivity, digital signage and cybersecurity. The company is seeking an experienced Director of Data, Analytics & AI Solutions to lead their transformation into a data-driven organization powered by advanced analytics and AI/ML capabilities, while driving enterprise-wide technology transformation across all business units.
Telecommunications
Responsibilities
Serve as key DTI department leader, contributing to technology strategy, innovation roadmap, and departmental direction while influencing SageNet's digital transformation
Lead data and AI initiatives spanning multiple departments, ensuring collaboration between DTI and Operations, Finance, Sales and other Business units
Shape SageNet's technology strategy through strategic planning participation, architecture decisions, and innovation initiatives
Execute enterprise data strategy with proven experience establishing data governance, quality frameworks, and organizational transformation
Drive AI initiatives combining generative AI applications (LLMs, document intelligence, automated content) with traditional ML (predictive analytics, anomaly detection, automated decisions)
Design comprehensive analytics architecture leveraging Microsoft Fabric (Azure), Power BI evolution, and modern data engineering tooling
Architect scalable data pipelines using modern tools (Spark, Airflow, Kafka, dbt) integrating SAP, Salesforce, ServiceNow with unified data platforms
Extend existing Power BI infrastructure to support advanced analytics and AI-ready data pipelines while maintaining current BI operations
Collaborate with DTI infrastructure, security, and application teams ensuring data/AI initiatives align with technology architecture and security frameworks
Build high-performing data and analytics team through mentorship, training, and career development in AI/ML and data engineering
Lead cross-functional relationships with business units to identify data-driven opportunities and ensure AI initiatives deliver measurable value
Drive results through influence in complex stakeholder environments, building consensus across departments and organizational levels
Qualification
Required
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
Extensive experience working with SAP (BI, HANA, Analytics Cloud), Salesforce (Analytics Cloud, Einstein), ServiceNow (Performance Analytics, Predictive Intelligence)
Expert-level Power BI experience with enterprise BI architecture, plus Microsoft Fabric or similar unified analytics platforms (Databricks, Snowflake)
Hands-on experience with Azure OpenAI Service, prompt engineering frameworks, RAG systems, and enterprise LLM implementations
Deep experience with TensorFlow, PyTorch, Scikit-learn, cloud AI platforms (Azure AI preferred), and MLOps practices
Expert-level experience with at least one of the following - Spark, Airflow, Kafka, dbt, and modern data pipeline tools
Expert-level Azure (preferred) or AWS/GCP experience with data services and enterprise integration
Proven success managing complex stakeholder relationships across IT, operations, finance, and executive teams
Experience leading initiatives in matrix environments, building consensus across departments
Ability to translate technical concepts into business value for diverse audiences
Experience leading organizational transformation in established organizations with legacy systems
Preferred
Microsoft Fabric implementation experience
MSP/Telecommunications industry experience
ServiceNow Predictive Intelligence and SAP Analytics Cloud advanced experience
MLOps tools (MLflow, Kubeflow, Azure ML Studio) expertise
Time-series forecasting and anomaly detection for IT/Network operations
Benefits
Full health, dental, vision, 401k with company match, flexible PTO, and standard SageNet benefits.
Company
SageNet
SageNet is a leading provider of managed network and cybersecurity services to many of the nation’s largest retailers, healthcare.
H1B Sponsorship
SageNet has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
2023 (3)
2022 (2)
2021 (6)
2020 (4)
Funding
Current Stage
Growth StageRecent News
2025-06-27
2024-02-20
Indus Business Line
2022-04-29
Company data provided by crunchbase