VP, IT Business Solutions
Conservation International · Virginia, United States · 1 wk ago
Information TechnologyFull-time
Responsibilities
- Lead business solutions strategic planning and execution that support business objectives and drive growth.
- Drive digital transformation and change management initiatives by identifying opportunities for process improvement and innovation.
- Ensure opportunities are included in the roadmap and governance.
- Create a culture of multiyear strategic planning, elevating IT into a strategic partner.
- Oversee the selection, deployment, and management of enterprise-wide software applications, ensuring alignment with business requirements and best practices.
- Plan effective governance.
- Define and drive an enterprise AI strategy and roadmap (including generative AI), identifying high-value use cases, aligning priorities with business objectives, and ensuring responsible AI governance.
- Partner with data, security, privacy, risk, and legal stakeholders to establish AI standards (data quality, model lifecycle, vendor evaluation, and controls) and drive adoption through training, change management, and measurement of business value.
- Bring outside-in perspectives into the organization by routinely meeting with industry peers and other external sources.
Qualifications
- Required: Master’s degree in computer systems design or computer science, and/or 15+ years of equivalent work experience.
- Knowledge & Experience: 8+ years in a senior leadership role within IT, with a focus on business solutions and technology strategy; 5+ years of experience managing teams of professional employees; strong understanding of solution architecture, IT software development lifecycle, agile, and emerging technologies; demonstrated experience leading AI and/or generative AI initiatives from concept to production, including use-case identification, vendor/partner evaluation, risk management, and change adoption; working knowledge of responsible AI practices, including privacy, security, bias mitigation, model monitoring, and data governance; demonstrated ability to effectively communicate complex technical concepts to non-technical stakeholders; excellent leadership, decision-making, and problem-solving skills; ability to work in a fast-paced, dynamic environment with the ability to manage multiple priorities simultaneously; strong business acumen and strategic thinking capabilities.