VP of Data, AI & Innovation

About Michael Baker International

Michael Baker International is a leading provider of full continuum of Engineering and Consulting services, including design, planning, architectural, environmental, construction and program management.

Our clients include U.S.

federal, state and municipal governments, foreign allied governments, and a wide range of commercial clients.

Michael Baker is committed to delivering a standard of excellence that fosters a culture of innovation, collaboration, and technological advancement to help solve our clients' complex challenges.

Job Summary

We are seeking an experienced and visionary Vice President of Data, AI, and Innovation to join our team.

The VP will work closely with CIO and other C-suite executives to ensure that AI and digital technologies are integrated seamlessly into the company's products, services, and internal processes.

This transformational role will be instrumental in designing and advancing our data and AI strategies, including Generative AI, to deliver new business capabilities to enhance how we add value to our clients and deliver new insights that enable better decision-making.

The role will also lead the adoption of AI, Generative AI, ML solutions embedded in various business SaaS products (AEC products stack from Bentley, Autodesk, ESRI, etc.; Enterprise products stack from Oracle EBS / Fusion Cloud ERP, Oracle HCM, Project Management, Resource Management, CRM, etc.) in our applications landscape.



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*Must be U.S.

Citizen

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Key Responsibilities:


* Vision & Strategy:
+ Evangelize, develop, and implement comprehensive data and AI strategies, including Generative AI in alignment with our corporate vision, goals, and objectives.
+ Identify key business areas where AI can drive innovation, improve efficiency, and enhance decision-making.


* Data Leadership:
+ Data Strategy: Define and execute on the enterprise data strategy that supports structured, unstructured data mining, near and real-time data streaming, vector and graph databases, and AI-powered applications.
+ Data Management: Oversee the management of data assets, ensuring integrity, availability, and security of data across the organization.
+ Data Quality: Establish and maintain high standards of data quality, implementing robust data governance frameworks and processes.
+ Data Engineering: Lead the design, development, and optimization of scalable data pipelines and architectures to support advanced analytics and AI initiatives.
+ Data Delivery: Lead the design and execution of data solutions to enhance business capabilities, data-driven decision making, and drive growth.


* AI Leadership:
+ AI Innovation: Drive the architecture, development, and deployment of AI/ML solutions to enhance business operations, optimize performance, and provide actionable insights.
+ Internal AI/ML Capabilities: Build and lead a team of data scienti...