Leah C. Jochim
Transformation leader partnering with C-suite and boards to turn strategy into measurable outcomes. I align talent, technology, and AI-enabled capabilities to drive productivity, resilience, and sustainable growth.
About
Leah C. Jochim is a transformational product and strategy executive who partners with boards, CEOs, and CIOs as a trusted advisor to translate vision into measurable business outcomes. She aligns enterprise strategy with disciplined execution by integrating talent, technology, and AI-enabled capabilities into scalable operating models.
Leadership
Scaling innovation and culture for high-growth teams across Fortune 500 and startups
Innovation
Pioneering AI-driven product frameworks and transformation methodologies
Strategic Execution
Building strategies that leverage technology assets and human talent to attain key business outcomes
Impact
Board director, 3x founder, and philanthropic leader building enduring institutions
With a track record of leading transformations for organizations ranging from high-growth firms to Fortune 500 enterprises, Leah designs outcome-driven roadmaps, implements OKR-based governance, modernizes platforms, and embeds change management practices that drive adoption, productivity, and sustainable impact.
She brings deep expertise in AI-enabled innovation, digital modernization, and enterprise agility — ensuring organizations not only adopt emerging technologies, but operationalize them to improve performance, resilience, and long-term value creation.
As a Partner at Convergence Technology Solutions (CTS), Leah helps organizations architect data-driven transformation strategies and scale global technology operations. Her board service focuses on strategic guidance in technology initiatives, corporate governance, and AI integration. As a dual citizen of Canada and the United States, she brings a cross-border perspective to global technology operations and organizational development.
Experience
Convergence Technology Solutions
Co-Founder & Partner
Microsoft Corporation
Principal Program Manager, Cloud + AI
American Express
Vice President, Enterprise Agility
Microsoft IT
Principal Program Manager, Agile Adoption
Board Leadership
Tri Delta Fraternity
Executive Board Director
Courage to Caregivers
Board Member
Work & Impact
Transforming organizations through AI innovation, strategic governance, and institutional leadership
AI & Technology
Leading the development of ARIA, an AI-powered platform for venture capital and private equity due diligence. Architecting AI product management frameworks that accelerate product discovery and transformation initiatives across enterprise organizations.
- •AI-driven transformation strategies for Fortune 500 companies
- •Product discovery frameworks and methodologies
- •Enterprise-scale technology platform architecture
Board Leadership
Providing executive-level strategic guidance on technology initiatives, corporate governance, and business strategy. Expertise in AI integration, organizational transformation, and nonprofit governance best practices.
- •Corporate governance and strategic oversight
- •Technology strategy and digital transformation
- •Fundraising and organizational development
Thought Leadership
Insights on AI innovation, product management, and organizational transformation
AI in Product Management
The integration of artificial intelligence into product management represents a fundamental shift in how we discover, validate, and deliver value to customers. Modern AI product leaders must balance technical possibility with human-centered design, ensuring that intelligent systems augment rather than replace human judgment. Successful AI product strategies require deep understanding of data architecture, model performance metrics, and ethical considerations alongside traditional product discovery frameworks. Organizations that embed AI literacy across product teams while maintaining rigorous experimentation practices will lead the next generation of transformative products.
AI for Nonprofits
Nonprofit organizations stand at a unique inflection point where AI technologies can dramatically amplify mission impact while operating within constrained resources. Strategic AI adoption in the nonprofit sector requires careful prioritization of use cases that directly advance organizational goals—from donor engagement and fundraising optimization to program delivery and impact measurement. The most successful implementations combine accessible AI tools with strong data governance, ensuring that automation enhances rather than diminishes the human relationships central to nonprofit work. Leaders must navigate ethical considerations around data privacy, algorithmic bias, and equitable access while building organizational capacity for sustained AI innovation.
Governance & Board Strategy
Effective board governance in technology-driven organizations demands directors who can bridge strategic oversight with technical fluency. Modern boards must ask sophisticated questions about AI ethics, cybersecurity risk, and digital transformation ROI while maintaining focus on fiduciary responsibilities and stakeholder value. The highest-performing boards cultivate diverse expertise, establish clear technology governance frameworks, and create space for deep strategic dialogue beyond operational reporting. Directors who invest in continuous learning about emerging technologies while strengthening governance fundamentals position their organizations for sustainable competitive advantage in an increasingly digital landscape.
Product Discovery Best Practices
Rigorous product discovery separates organizations that build the right things from those that merely build things right. The most effective discovery practices combine continuous customer engagement, rapid experimentation, and cross-functional collaboration to reduce uncertainty before committing to delivery. Modern product teams must master both qualitative research methods and quantitative analytics, using each to inform and validate the other. Success requires creating organizational structures that protect discovery time, reward learning over shipping, and empower teams to say no to features that don't serve validated customer needs. The discipline of discovery becomes even more critical as AI capabilities expand what's technically possible—ensuring we remain grounded in what's actually valuable.
Human-Centered AI Systems
Building AI systems that genuinely serve human needs requires intentional design choices that prioritize transparency, controllability, and dignity. Human-centered AI goes beyond usability to address fundamental questions of agency, fairness, and trust in automated decision-making. Product teams must design for diverse user contexts, anticipate failure modes, and create meaningful mechanisms for human oversight and intervention. The technical architecture of AI systems should reflect human values through explainable models, bias mitigation strategies, and clear accountability structures. Organizations that embed human-centered principles throughout the AI development lifecycle—from problem framing through deployment and monitoring—build systems that earn and maintain user trust while delivering sustainable business value.