Leader - Data, Analytics, & Business Intelligence

POSITION PURPOSE

ACCOUNTABILITIES & PERFORMANCE EXPECTATIONS

Strategic Leadership & Vision

• Define and execute a comprehensive enterprise data strategy aligned with ITA Group’s business goals.
• Serve as a trusted advisor to executive leadership on data-driven opportunities and risks.
• Build and lead a high-performing team across analytics, engineering, governance, and AI/ML.
• Champion a culture of data literacy, ethical data use, and continuous improvement.

Data Governance & Compliance

• Establish and maintain robust data governance frameworks, policies, and stewardship models.
• Ensure compliance with data privacy laws and internal security standards.
• Promote data quality, integrity, and ethical use across all business units.

Data Architecture & Integration

• Oversee the design and implementation of scalable, on-prem and cloud-based data platforms and pipelines.
• Ensure seamless integration of data from internal and external sources to support enterprise reporting and analytics.
• Partner with IT and business stakeholders to modernize legacy systems and enable real-time data access.

Data Preparation & Automation

• Develop and implement data preparation processes to ensure data quality and consistency.
• Leverage automation and orchestration tools to streamline data workflows and improve efficiency.
• Collaborate with cross-functional teams to ensure data readiness for AI, automation, analytics and reporting.

Analytics & Business Intelligence

• Lead the development of advanced analytics and BI capabilities to deliver actionable insights.
• Collaborate with business leaders to define KPIs, dashboards, and performance metrics.
• Promote self-service analytics and data democratization through training and enablement.

AI & Machine Learning

• Drive the adoption of AI/ML technologies to enhance forecasting, personalization, and operational efficiency.
• Partner with Shared Services AI Consultants to identify, pilot, and scale AI use cases.
• Ensure responsible and ethical AI practices, including transparency, fairness, and accountability.

LEADER ACCOUNTABILITIES

• Review candidates for areas of responsibility, conduct interviews, and make hiring decisions based on input from People & Culture. Submit Personnel Requisitions, Employment Information forms and other necessary documents in accordance with People & Culture and Business Management System procedures.
• Administer the annual review process, including writing or revising position descriptions, preparing performance evaluation responses and/or conducting appraisal conferences and making appropriate salary recommendations.
• Maintain confidentiality on all matters pertaining to company business and personnel issues.
• Supervise staff in accordance with company policies and procedures.
• Implement corporate initiatives and formulate defined objectives to support enterprise or business unit goals. 
• Set budgets; monitor and control expenses.
• Track and report scorecard results to senior leaders.

CORPORATE ACCOUNTABILITIES

• Provide prompt, courteous and exemplary service to all customers, both external and internal, in accordance with ITA Group’s Corporate Mission, Vision, Values and Beliefs. Demonstrate courtesy and professionalism, consistently providing a timely response, based on departmental guidelines, to every customer service inquiry.
• Support ITA Group’s commitment to quality by developing and maintaining position-specific procedures, process instructions and/or forms. 
• Attend work on a regular basis and adhere to all guidelines as outlined in the ITA Group Team Member Handbook.
• Accept responsibility for personal and professional development.

POSITION REQUIREMENTS

• Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field; or equivalent work experience.

• At least 10 years of progressive experience in data strategy, analytics, and governance, with at least five years in a leadership role.
• Experience in professional services, marketing, or engagement-focused industries is a plus.
• Proven track record of leading enterprise data transformations and building high-performing teams.
• Deep knowledge of data platforms, tools, and technologies.
• Experience with both on-prem and cloud data ecosystems and modern data architectures.
• Familiarity with AI/ML frameworks and tools.
• Strong executive presence with the ability to influence and align cross-functional stakeholders.
• Excellent communication skills, with the ability to translate complex data concepts into business value.
• Demonstrated ability to manage competing priorities and drive results in a fast-paced environment.
• Passion for innovation and continuous improvement.
• Strong business acumen and understanding of how data drives customer and operational value.
• Ability to listen, understand, and respond to external and internal customers’ needs in a timely manner; customer service experience in a service-related industry preferred.
• Ability to work the time necessary to complete projects or meet deadlines.
• Ability to maintain confidentiality regarding salary and personnel issues.