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Director of Data, Analytics & AI

Director of Data, Analytics & AI

SageNet LLCTulsa, OK, US
30+ days ago
Job type
  • Full-time
Job description

Job Description

Job Description

WHO WE ARE

Empowering Connections, Inspiring Possibility

SageNet is a leading managed services provider specializing in connectivity, digital signage and cybersecurity. The company connects, manages and protects technologies and devices across widely distributed enterprises. SageNet’s people, processes and technologies, coupled with its collaborative approach, empowers customers to achieve their core business objectives.

The company offers world-class service and support via its US-based 24 / 7 / 365 Network Operations Centers (NOCs) and Security Operations Centers (SOCs), geographically diverse teleports, a central National Logistics Center, multiple data centers, and a nationwide field service organization.

What makes SageNet unique is its Why : SageNet is passionate about Trusted Connections. This is a two-fold calling. First, the company creates trusted, reliable and secure technological connections for its customers. Second, and perhaps even more importantly, SageNet works tirelessly to build trusted human connections with its customers, partners and communities. The company believes that by creating, discovering and nurturing these trusted connections, SageNet enhances the world that connects us all.

With a three-decade track record in managed services, SageNet boasts a long-term customer base that includes the nation’s largest retail, financial, healthcare, utilities and energy organizations. SageNet manages communications for more than 430,000 endpoints. Headquartered in Tulsa, SageNet has regional offices in Atlanta and Washington, D.C.

WHAT YOU’LL DO

We are seeking an experienced Director of Data, Analytics & AI Solutions to lead our enterprise transformation into a data-driven organization powered by advanced analytics and AI / ML capabilities. This Digital Technology and Innovation(DTI) leadership role requires a senior technologist with proven data strategy establishment experience, hands-on generative AI and machine learning expertise, and exceptional cross-functional collaboration skills.

As a key member of DTI leadership, you'll architect our comprehensive data, analytics and AI platform while influencing departmental strategy and driving enterprise-wide technology transformation across all business units.

Major duties and responsibilities :

DTI Leadership & Strategic Influence

  • 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

Enterprise AI / ML & Data Architecture

  • 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 Sr Manager of Data Center and Network Operations 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
  • Leadership & Collaboration Skills

  • Cross-Functional Excellence : Proven success managing complex stakeholder relationships across IT, operations, finance, and executive teams
  • Matrix Leadership : Experience leading initiatives in matrix environments, building consensus across departments
  • 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
  • MLOps tools (MLflow, Kubeflow, Azure ML Studio) expertise
  • 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.
  • WHERE YOU’LL WORK

    Enjoy the flexibility of our hybrid work model. Our business casual working environment fosters collaboration and productivity. Ability to work in a fast-paced environment and manage multiple priorities.

  • Flexible hybrid work arrangement with options to work in our Reston VA, Atlanta GA, or Tulsa OK.
  • Positive mindset, fearless to ask questions and push against the status quo.
  • Ability to drive projects to completion on time.
  • Work with proven, high-performing teams committed to excellence, innovation, and continuous learning.
  • Access to cutting-edge technology platforms, tools, and resources needed for success.
  • Join organization committed to multi-year data and AI transformation with sustained executive support and investment.
  • PHYSICAL REQUIREMENTS

  • Be able to sit for extended periods of time without any problems
  • Consistent use of hands and fingers for typing
  • Consistent use of eyes to analyze monitoring applications, spreadsheets, ticketing systems and web on computer screen
  • CLASSIFICATION

  • : Exempt
  • POSITION TYPE : Fulltime

    TRAVEL REQUIREMENTS : No

    DIRECT REPORTS : Yes

    SAFETY SENSITIVE : No

    Ready to join a team that values trusted connections? Apply now!

    Equal Opportunity Employer

    SageNet is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

    Legal Disclaimer

    This job description is intended to provide a general overview of the position. It is not an exhaustive list of all responsibilities, duties, and skills required. SageNet reserves the right to modify this job description at any time, with or without notice. Employment with SageNet is at-will, meaning that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice. SageNet will provide reasonable accommodations for qualified individuals with disabilities.

    As a managed services provider, SageNet maintains a high level of information Security. SageNet has a published Information Security Policy and provides mandatory Security Awareness Training for all employees. SageNet requires that all employees adhere to published SageNet security policy, failure to do so may result in termination of employment. The SageNet security program is only as strong as our people and as such it is the responsibility of all employees to protect corporate and customer data following best practices and policies.

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