VP, Foundational Business Transformation Data and AI lead

Key Responsibilities

• Define and own the Data & AI strategy aligned to enterprise and Foundational Business priorities.
• Establish long-term roadmaps and investment priorities for Data & AI capabilities.
• Convert the overall strategy to prioritized and actionable implementation opportunities with varying degrees of complexities.
• Develop impact metrics and business cases aligned to AI and design changes required in talent and capabilities as an outcome of AI solutions.
• Advise senior executives and influence enterprise strategy through data-driven insights and innovation.

Execution & Delivery

• Accountable for end-to-end delivery of Data & AI initiatives, ensuring measurable business outcomes and value realization in partnership with Technology leaders.
• Lead prioritization and execution of a portfolio of AI and data initiatives, balancing speed, scale, and risk.
• Ensure successful adoption and scaling of AI solutions across the business.

Data & Governance

• Partner with Tech Data leader to define and implement enterprise-grade data governance frameworks across value streams, including data quality, privacy, security, and compliance.
• Oversee the development and scaling of data products and platforms required to enable AI capabilities working closely with Technology leaders.
• Establish standards for responsible AI and data usage across the organization.

Financial Accountability

• Own and manage a Data & AI investment portfolio, including budgeting, prioritization, and resource allocation.
• Accountable for ROI and financial performance of Data & AI initiatives.
• Align investments with business strategy and transformation goals.

Leadership & Organization

• Lead and scale a multi-disciplinary organization to become a AI first leading insurance organization.
• Develop and mentor senior leaders, building organizational capability and succession pipelines.
• Drive a culture of innovation, accountability, and continuous improvement.
• Operate effectively in a matrixed environment, leading through both direct and indirect teams.

Cross-Functional & External Influence

• Act as the primary interface between business and technology organizations.
• Drive alignment across business units, technology, and transformation teams.
• Represent the organization externally with partners, vendors, and industry forums.
• Build and manage strategic partnerships to accelerate Data & AI capabilities.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Business Administration, or related field; MBA preferred.
• 12+ years of progressive leadership experience in data, AI, analytics, and business transformation.
• Proven track record of leading large-scale, enterprise Data & AI initiatives.
• Strong understanding of business strategy, financial management, and operating models.
• Deep expertise in data platforms, AI/ML technologies, and governance frameworks.
• Exceptional ability to influence and communicate with executive stakeholders.

Pay & Benefits

Salary Range: $250,000 - $300,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location.
Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

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