Director, Data Engineering

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The Chief Data Official and Director of Data Engineering and Artificial Intelligence is responsible for leading our data and artificial intelligence strategy, and execution of related programs and practices that drive measurable business outcomes. This role is pivotal for enterprise accountability of the organization’s data and AI assets to drive value for business stakeholders. This role involves establishing, leading, and operating the data engineering and artificial intelligence function to deliver agile solutions while managing data as a valued asset. This role will partner with business and technical leaders to establish and influence data quality, data management, and data governance practices. This role will establish the team and develop the talent to support enterprise capabilities for data engineering and AI to build trust in managing the data and supporting evolving technology capabilities. This role is a senior leadership position reporting directly to the Vice President and Chief Information Officer (CIO).

Roles & Responsibilities:

• Establish the vision for managing data as a business asset — to leverage data and analytics capabilities to maximize the value derived from data assets.

• Lead the creation of the data strategy, data governance, and associated practices in collaboration with the CIO.

• Maintain authority and accountability for exploiting the value of enterprise information assets, and of the analytics used to render insights for decision making, automated decisions, and augmentation of human performance. Be the corporate leader of data-driven insights and use cases that help support strategic and tactical business outcomes.

• Leverage AI to enhance data engineering processes, automating data cleaning, integration, and transformation tasks to improve efficiency and accuracy.

• Implement AI-driven analytics solutions to uncover deeper insights, predict trends, and support data-driven decision-making across the enterprise.

• Foster the creation of a data-driven and AI-native culture, related competencies, and literacy across the enterprise. Lead these transformation efforts by developing data engineering and AI talent and maturing the capability of the organization.

• Institute an enterprise operating model for data and AI that is consistent with the capabilities and competencies required to execute the strategy.

• Champion the use of Artificial Intelligence (AI), Large Language Models (LLM), and Natural Language Processing (NLP) technologies to enhance business processes and customer engagement.

• Develop and deploy machine learning models to enhance data quality, detect anomalies, and automate data governance tasks.

• Identify new kinds, types, and sources of trusted data to enable business value innovation throughout the organization.

• Lead data-driven innovation for the enterprise, including investigation, adoption, and exploitation of artificial intelligence.

• Connect with stakeholders to identify their unmet needs that expose new opportunities and redesign business processes and interactions as part of the digital transformation.

• Focus on business outcomes, not reporting. Inventory the business’ KPIs, not just for the purpose of reporting on the business with dashboards and reports. Modern data and analytics strategies use KPIs that describe how data and analytics will be used to improve the business, actually achieving those business outcomes through specific business actions.

• Oversee delivery models, methods, and practices for the creation of data products to ensure consistent application and use of data and analytics solutions.

• Establish and maintain trust in data assets by instituting governance mechanisms for data and algorithms used for analysis, analytical applications, and automated decision-making.

Basic Qualifications:

• Requires a minimum of 15 years of related experience with a bachelor’s degree within Information Technology, Computer Science, or a related field; or 12 years and a master’s degree; or a PhD with 10 years’ experience; or equivalent combination of related education and work experience.

• Proven experience in a senior leadership role within a global Enterprise-IT environment, with a track record of successful strategy development and execution for enterprise data and AI initiatives.

• Extensive knowledge and experience in data engineering, data analytics, data governance, AI, and data transformation.

• Experience establishing enterprise data management, data labeling, and data governance.

• Understanding of Artificial Intelligence (AI), Large Language Models (LLM), Natural Language Processing (NLP), Azure, AWS, and cloud applications.

• Experience in Agile and DevSecOps.

• Proficiency in knowledge and information management, organizational leadership, and organizational transformation. Demonstrated ability to lead diverse teams and foster a culture of collaboration and innovation.

• Excellent communication skills, with the ability to engage effectively with stakeholders at all levels within the organization, and to articulate complex technical concepts in a clear and concise manner.

• Excellent analytical, strategic planning, and organizational skills.

• Ability to assess the financial tradeoffs with technical architecture decisions.

• Trusted and respected IT thought leader who can influence decision making within the organization.

• Previously held a minimum of a secret clearance with the ability to obtain and maintain a Top-Secret security clearance. ​

Our culture is a tangible asset that endures through our people and leaders. At MITRE, our leaders must also demonstrate and continually develop a consistent set of shared Leadership Competencies:

• Lead with a Strategic Mindset: Drives alignment across MITRE to achieve our mission by engaging across and beyond the enterprise, making and executing decisions, and activating the Good Growth Strategy.

• Create Value: Takes a broad approach to solving complex problems using a national and global lens. Unleashes the full capabilities of our people in a relentless pursuit of innovative solutions that are scalable, equitable, transferable, and sustainable.

• Cultivate Inclusion: Creates an environment and opportunities, built on trust, where people can be their whole authentic self, feeling welcomed, supported, engaged, and respected for who they are and what they contribute to the organization. Embraces and engages all dimensions of diversity to exponentially expand MITRE’s impact in solving problems for a safer world.

• Communicate for Impact: Conveys powerful messages tailored to the unique needs of stakeholders—and desired outcomes—in a style that engages and inspires action. Exemplifies active listening to foster collaboration, understanding, and alignment.

• Commit to Action and Outcomes: Holds self and others accountable for acting on and achieving established objectives. Exemplifies cultural attributes while executing and delivering impactful outcomes.

This requisition requires the candidate to have a minimum of the following clearance(s):

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Work Location Type:

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