Primary Responsibilities:
Strategic Innovation & Growth
• Partner with executive leadership to define and execute an enterprise AI and technology architecture strategy aligned with the firm’s mission, vision, and business basics—with a clear mandate to make Baldwin an AI-driven organization.
• Scale with Vision: Align data, platforms, security, and enterprise systems to enable sustainable, efficient growth.
• Serve as a catalyst for innovation and dreaming—advancing AI, automation, and emerging technologies that transform colleague and client experiences.
• Translate business strategy into modern architecture roadmaps that prioritize value, agility, and resilience.
• Design, deploy, and govern an enterprise Agentic AI framework—enabling autonomous, multi-step AI agents to orchestrate complex workflows across operations, client advisory, risk analysis, and compliance functions.
• Lead evaluation and selection of LLM platforms—including Anthropic Claude, OpenAI GPT-4o, Google Gemini, Meta LLaMA, and Microsoft Azure OpenAI—based on performance benchmarks, data security, regulatory fit, and cost of ownership for Baldwin’s environment.
Enterprise Architecture Leadership
• Establish and govern enterprise architecture standards across applications, data, integrations, infrastructure, and security.
• Lead modernization of core platforms to ensure scalability, interoperability, and future-ready capabilities.
• Drive alignment of technology ecosystems across business units to eliminate redundancy and enable seamless collaboration.
• Ensure architecture decisions balance innovation, risk management, cost efficiency, and long-term sustainability.
AI & Intelligent Automation Leadership
• Define and lead the enterprise AI strategy, establishing a clear vision for how artificial intelligence will transform colleague productivity, client experience, and business performance.
• Identify, prioritize, and scale high-impact AI use cases across operations, client advisory, risk analysis, and workflow optimization.
• Champion intelligent automation by integrating AI into core platforms, processes, and decision frameworks to streamline execution and reduce manual effort.
• Establish responsible AI governance, ensuring ethical use, model transparency, security, and regulatory alignment.
• Partner with business leaders to embed AI-powered insights into everyday workflows, enabling faster, smarter decision-making.
• Oversee development and deployment of machine learning, generative AI, agentic systems, and advanced analytics solutions that create measurable enterprise value.
• Enable foundational data readiness, governance, and accessibility necessary to support scalable and reliable AI solutions.
• Lead a structured LLM evaluation and governance program—continuously benchmarking frontier models (Anthropic Claude Sonnet/Opus, OpenAI GPT-4o, Google Gemini, Meta LLaMA) against Baldwin’s use cases for accuracy, cost, latency, security, and compliance; define a multi-model strategy that avoids single-vendor dependency.
• Build and scale AI platforms that support multi-agent orchestration, memory management, tool use, retrieval-augmented generation (RAG), and real-time feedback loops to power enterprise-grade agentic workflows.
• Establish an AI Center of Excellence (CoE) to build organizational AI fluency, standardize development practices, and accelerate time-to-value for AI initiatives across business units.
Operational Excellence
• Ensure reliable, secure, and high-performing technology environments that support enterprise operations.
• Establish performance frameworks grounded in outcomes, continuous improvement, and real-time reflection.
• Lead cross-functional integration of platforms, tools, and technical resources to maximize return on technology investments.
• Partner with Finance and Technology leadership to ensure disciplined fiscal stewardship, portfolio prioritization, and measurable value delivery.
Matrixed Partnership with Business & Technology Leaders
• Serve as the connector between enterprise technology strategy and business unit execution.
• Collaborate with business, product, data, cybersecurity, and infrastructure leaders to align priorities and roadmaps.
• Drive accountability for enterprise standards through influence and governance in a matrixed environment.
• Provide clarity, alignment, and architectural oversight to ensure teams are empowered while contributing to collective outcomes.
Leadership & Culture
• Model exceptional leadership by balancing vision with execution, recognizing strengths, and ensuring clarity of purpose across technology teams.
• Foster a culture of accountability, collaboration, and continuous learning where colleagues thrive and put “We Before Me.”
• Lead through the lens of The Baldwin Group’s values—Discerning, Grit, Genuine, Engaging, Purpose, and Dreaming while enabling innovation at scale.
• Inspire and develop high-performing technology leaders and teams to deliver measurable business impact and Baldwin Alchemy—achieving more together than as individuals.