
Vice President, Enterprise Data & AI
Posted Oct 20

Posted Oct 20
This is a fully remote position, open to applicants in Florida.
• Take charge of implementing the enterprise Data & AI roadmap across various regions, functions, and business units.
• Approve the sequencing and trade-off decisions concerning speed, quality, risk, and cost.
• Ensure director-level leaders are held accountable for the outcomes they commit to.
• Manage the benefits case for the Data & AI portfolio from the approval of investments through to post-implementation reviews.
• Establish measurable value targets, integrate capabilities into business processes, and report on the value captured.
• Redirect or discontinue initiatives that fail to deliver the expected value.
• Oversee the development and operation of the enterprise Data Platform, AI Factory, and associated AI capabilities.
• Establish platform roadmaps and approve investments related to the platform.
• Manage enterprise data governance and responsible AI practices, including the approval of AI use cases.
• Collaborate on security, privacy, regulatory compliance, and model risk management.
• Determine priorities, performance measures, governance forums, and execution processes.
• Track progress, escalate and mitigate enterprise risks, and ensure transparency regarding commitments and outcomes.
• Oversee the Data & AI operating and investment budget.
• Lead the selection, negotiation, and performance management of strategic vendors.
• Drive improvements in unit costs while maintaining long-term capability investments.
• Build and lead a global team of directors, managers, and technical professionals.
• Define the operating model and organizational structure.
• Recruit and develop director-level leaders while setting succession plans.
• Foster a culture of accountability, collaboration, and continuous improvement.
• Over 15 years of relevant experience in data, AI/ML, engineering, and/or platform leadership roles.
• At least 8 years of experience in direct management or supervision of employees.
• Responsible for an operating budget of $5M or more and a comparable investment portfolio.
• Hands-on experience with Microsoft ecosystem technologies, including Azure Foundry, Microsoft Copilot, and Copilot Studio.
• Knowledge of modern data platforms such as Snowflake and Databricks.
• Familiarity with foundational AI models such as OpenAI and Anthropic.
• Experience with FinOps best practices for cloud and AI cost management, including chargeback and showback models.
• Proven success in delivering measurable business value from data and AI investments.
• In-depth understanding of modern data platform architecture, AI and generative AI deployment at scale, and data governance frameworks.
• Experience in establishing responsible AI and data governance practices in regulated, multi-jurisdiction environments.
• Ability to drive alignment across functions.
• Strong executive presence and effectiveness in influencing C-suite peers and reporting to board-level audiences.
• Preferred experience managing globally distributed teams across NA, EMEA, APJ, and LATAM.
• Experience leading data and AI transformation during significant business changes is preferred.
• Background in distribution, supply chain, or another high-volume, low-margin operational model is preferred.
• A Bachelor's degree or equivalent work experience in a related field is required.
• A Master's/Post Graduate Degree is required.
• Ability to execute instructions and seek clarification as needed.
• Strong skills in complex problem-solving, critical thinking, and decision-making.
• Excellent attention to detail and accuracy.
• Clear written and verbal communication skills.
• Proficiency in English and other local/regional languages for effective communication.
• Capability to create and deliver formal presentations.
• Ability to interact effectively with managers and higher-level executives.
• Skilled in negotiation and persuasive communication.
• Ability to collaborate effectively across diverse identities.
• Strong leadership, organizational, and time-management abilities.
• Adaptable and capable of working under stress and pressure.
• Commitment to maintaining confidentiality and ethical standards.
• Ability to work independently with minimal supervision.
• Proficient in multitasking and building effective working relationships.
• Advanced proficiency with relevant computer systems and applications.
• Quick learner with the ability to adapt to new systems and technologies.
• Aware and alert while performing work tasks.
• Elective benefits customized to the employee's country.
• Formal leadership and professional development programs.
• Access to on-demand courses.
• Financial, physical, and mental well-being seminars and events.
• Global Life Empowerment Assistance Program.
• Inclusive education and peer-to-peer discussions.
• Equitable growth and development opportunities.
• Onboarding program with networking opportunities.
• Internal, peer-led inclusive communities and activities.
• Business resource groups.
• Local volunteering events.
• Environmental and social initiatives.
Fiserv
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