Data Management & IT Innovation Manager

The Data Management and IT Innovation Manager is responsible for driving technology Data Research and innovation strategies that align with the business objectives. This role leads the evaluation and implementation of emerging technologies, ensuring they enhance operational efficiency, passenger experience, and long-term IT sustainability. The Manager will oversee a team of IT professionals, researchers, and engineers to conduct thorough analyses of technology trends and solutions while collaborating with key internal and external stakeholders.

The ideal candidate possesses a strong technical foundation in enterprise IT, innovation frameworks, and emerging technologies, coupled with leadership skills to foster a culture of continuous technological advancement.

Essential Duties and Responsibilities:

These are typical responsibilities for this position and should not be construed as exclusive or all inclusive.

Strategic Technology & Data Leadership

• Develop and execute innovation strategies aligned with business and operational objectives.
• Lead enterprise data management initiatives including metadata management, data cataloging, and lifecycle practices.
• Promote and enforce data governance policies, roles, and stewardship across all functions.
• Guide the adoption of Microsoft Power Platform for low-code/no-code app development and automation.

Research, Development & Solution Delivery

• Lead a cross-functional team in researching, piloting, and deploying innovative IT and data solutions.
• Evaluate and implement AI, IoT, automation, and geospatial technologies, with an emphasis on data interoperability.
• Oversee Power BI dashboards and Power Apps solutions that support operational transparency and real-time decision-making.

Data Governance & Analytics Innovation

• Build and maintain an enterprise data governance framework, including policy creation, master data standards, and access protocols.
• Implement tools and platforms that ensure data quality, traceability, and regulatory compliance.
• Deploy predictive analytics and AI/ML tools for business forecasting, anomaly detection, and resource optimization.
• Oversee enterprise data integration strategies with internal and external systems including cloud platforms and legacy systems.
• Foster collaboration between business units and IT teams to ensure that data architecture supports analytics and reporting needs.
• Support Power Platform Center of Excellence (CoE) efforts to promote division development and governance.

Performance Monitoring & Continuous Improvement

• Define KPIs for innovation and data initiatives, including user adoption and ROI of Power Platform solutions.
• Drive continuous process improvement using feedback loops and automated workflows.
• Conduct audits to evaluate the success and compliance of implemented solutions, particularly those involving sensitive data.

Additional Responsibilities:

• Represent the business at industry conferences, technology forums, and innovation summits.
• Prepare reports, presentations, and strategic recommendations for executive leadership.
• May perform other duties as assigned.

The above statements reflect the general duties, responsibilities and competencies considered necessary to perform the essential duties and responsibilities of the job and should not be considered as a detailed description of all the work requirements of the position. COA may change the specific job duties with or without prior notice based on the needs of the organization.

This is a partial listing of necessary knowledge, skills, and abilities required to perform the job successfully, it is not an exhaustive list.

• Leadership & Strategy:
  Ability to develop and execute long-term technology innovation strategies aligned with business objectives.
• Data Management & Governance:
  Deep understanding of data governance frameworks and data stewardship.
• Power Platform Expertise:
  Proficiency in Power BI, Power Automate, and Power Apps, including dashboard creation and automation flows.
• Research & Analysis:
  Strong skills in evaluating market trends, assessing technology feasibility, and conducting cost-benefit analyses.
• Project Management:
  Expertise in managing complex IT projects, including proof-of-concept development, vendor coordination, and enterprise-level deployment.
• Data Analytics & AI Integration:
  Proficiency in leveraging data-driven insights and implementing AI-driven analytics for predictive decision-making.
• Communication & Stakeholder Engagement:
  Strong ability to translate complex technical information into business-friendly language and engage stakeholders at all levels.
• Negotiation & Vendor Management:
  Experience in contract negotiations, vendor selection, and managing relationships with external service providers.
• Problem-Solving & Innovation:
  Creative problem-solving skills to drive innovative technology solutions and process improvements.
• Communication & Change Management:
  Excellent at driving user adoption through stakeholder engagement,…