Head of Data & AI Platform

About Highspring Highspring is a next-generation consulting and professional services firm. We deliver modern, agile, and forward-thinking solutions to our clients across North America. We work with some of the most innovative organizations across industries to help them drive transformation, accelerate innovation, and unlock business value through technology. At Highspring, we believe in empowering our people, fostering leadership, and delivering measurable impact. The Opportunity Highspring is seeking a Head of Data & AI Platform to lead the strategy, evolution, and operational excellence of a global enterprise Data & AI Platform. This is a senior leadership role responsible for defining the long-term vision, driving enterprise-wide adoption of data and AI capabilities, and building the technical foundation required to support advanced analytics, artificial intelligence, and next-generation digital initiatives. As the leader of a multi-level organization of managers and technical experts, you will oversee platform strategy, capability roadmaps, service delivery, and business outcomes while partnering closely with executive stakeholders to align platform investments with organizational priorities. What You'll Do Define, communicate, and execute the enterprise strategy for a global Data & AI Platform while ensuring alignment with executive technology priorities. Lead and develop a multi-level organization consisting of managers, architects, engineers, and technical specialists. Establish and manage platform roadmaps, portfolio priorities, service evolution, KPIs, and measurable business outcomes. Drive enterprise-wide adoption of data and AI capabilities through strategic partnerships with business and technology stakeholders. Build the foundational capabilities required to enable agentic AI, advanced analytics, machine learning, and future AI innovations. Ensure the platform remains secure, scalable, reliable, and integrated across global operations. Influence enterprise-level technology decisions and align cross-functional teams around platform investments and priorities. Develop and maintain strategic relationships with cloud providers, technology vendors, and industry partners. Represent the organization externally through industry events, executive presentations, and strategic partner engagements. Monitor emerging technologies and industry trends to guide long-term platform evolution and innovation. Resolve complex issues, balance competing priorities, and ensure delivery remains aligned with strategic objectives. Champion operational excellence, service reliability, continuous improvement, and innovation across the platform ecosystem. What You Bring to the Table 10+ years of experience in data, analytics, artificial intelligence, platform engineering, or related technology disciplines. 5+ years of experience leading managers and multidisciplinary technical teams. Proven experience building, scaling, and operating enterprise technology platforms. Demonstrated success leading enterprise digital transformation and AI adoption initiatives across large, complex organizations. Strong executive presence with the ability to influence senior business and technology leaders. Exceptional leadership, communication, stakeholder management, and organizational development skills. Experience managing complex technology portfolios, investments, and strategic initiatives. Strong problem-solving skills with the ability to navigate ambiguity and drive decisions. Core Skills Required Deep expertise in modern Data & AI architectures. Strong understanding of cloud platforms, data lakehouses, streaming technologies, and distributed systems. Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. Knowledge of enterprise security, governance, compliance, privacy, and risk management practices. Ability to translate business objectives into scalable technical capabilities and operating models. Experience driving platform performance, reliability, scalability, and cost optimization. Expertise in organizational change management and technology adoption. Strong vendor management and strategic partnership experience. Ability to align technology strategy with measurable business outcomes. Our Stack The environment may include technologies and platforms such as: Cloud Platforms (Azure, AWS, and/or Google Cloud) Data Lakehouse Architectures Streaming and Event-Driven Data Platforms Machine Learning and MLOps Tooling Enterprise Data Governance Frameworks AI and Generative AI Platforms API and Integration Technologies Modern Analytics and Business Intelligence Solutions Why Join Highspring? Lead enterprise-scale Data & AI transformation initiatives. Influence strategic technology decisions at the executive level. Work alongside talented consultants, architects, and technology leaders. Drive innovation in one of the fastest-growing areas of enterprise technology. Access continuous learning, leadership development, and professional growth opportunities. Contribute to high-impact programs that shape the future of data and AI adoption.

Lead the strategy, evolution, and operational excellence of a global enterprise Data & AI Platform. Oversee a multi-level organization of technical experts to drive AI adoption and align platform investments with business outcomes.

Requires over 10 years of experience in data and AI disciplines, including at least 5 years leading multidisciplinary technical teams. Candidates must possess strong executive presence and deep expertise in modern cloud-based data architectures and MLOps.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data & AI Architecture
• Cloud Platforms
• MLOps
• Agentic AI
• Enterprise Strategy
• Stakeholder Management
• Platform Engineering
• Data Lakehouse
• Distributed Systems
• Vendor Management
• Organizational Change Management
• Governance & Compliance
• Strategic Planning
• Technical Leadership
• Cost Optimization
• Service Reliability

• Data & Analytics
• Management & Leadership
• Technology
• Consulting
• Software

Expérience minimale

10+ ans

Postuler avant le

2 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Not Applicable

Mode de candidature

La candidature directe est offerte