Vistra is a leading provider of essential business services to help companies and private capital funds grow across the entire business and investment lifecycle. We work with nearly half of the Fortune Global 500, managing more than 200,000 legal entities, and working with two-thirds of the Private Equity International (PEI) 300.
Vistra is owned by BPEA EQT, the Asian private equity arm of EQT, which is the 3rd largest PE fund globally. We are currently in an exciting phase of accelerated growth and digitally powered transformation, driven by a bold vision and a dynamic executive leadership team. As we transform to become fully digital & AI powered, scale our operations and evolve our business model, we are investing in our people and culture, injecting and cultivating the skills and capabilities needed to support our future focused transformation and growth plans while ensuring we remain agile, innovative, and client focused.
Vistra operates across two primary client groups:
- Vistra Funds Services (VFS) focuses on supporting Funds clients (Private Equity; Real Estate and Private Credit) through the delivery of Funds Administration; Investor Onboarding; AIFM; Depositary and similar offerings, and
- Vistra Global Solutions (VGS) which is focused on Corporate (and corporate like) clients through the delivery of such offerings as Company Incorporations; Legal Entity Management & Compliance services; Financial Accounting and Tax services and Payroll and Payments services.
As Vistra continues to transform toward a platform-led, AI-enabled global delivery model, data and AI are no longer support functions. They are core engines of margin expansion, service quality, risk management, and client experience.
Role Purpose
The EVP Enterprise Data, AI & Machine Learning is accountable for defining and executing Vistra's enterprise-wide data and AI strategy, transforming how data, analytics, and AI drive operational efficiency, regulatory confidence, and client value.
This role will:
- Build production-grade, governed AI and data platforms embedded into Vistra's operating model,
- Enable non-linear scaling across global delivery hubs through automation and intelligence,
- Ensure AI adoption is responsible, compliant, and commercially impactful,
- Partner tightly with Technology, Product, Operations, and Risk to embed AI into everyday workflows.
This is a hands-on, execution-focused leadership role operating at global scale in a regulated environment.
Key Responsibilities
Enterprise Data, AI & ML Strategy
- Define and own Vistra's global data, AI, and ML strategy, aligned to business, operating model, and risk appetite.
- Set clear priorities across analytics, automation, AI products, and platform enablement.
- Advise ExCo and senior leaders on AI investment decisions, trade-offs, and risk exposure.
Platform, Architecture & Standards
- Build and evolve a unified global data platform integrating core systems, SaaS tools, and client-facing applications.
- Define enterprise standards for:
- Data architecture and engineering,
- AI/ML development and deployment,
- MLOps, model lifecycle management, and monitoring.
- Control cloud and platform costs to ensure commercial sustainability at scale.
AI & Analytics Delivery
- Lead end-to-end delivery of AI and advanced analytics initiatives—from use case identification to production deployment.
- Partner with Product, Engineering, and Operations to embed AI into core services and client platforms.
- Establish clear performance measurement and benefits-realization frameworks.
Governance, Risk & Compliance
- Implement strong data governance, security, and privacy controls across global operations.
- Operationalize responsible AI, including bias monitoring, explainability, and model risk management.
- Work closely with Risk, Compliance, Legal, and Security teams.
Team & Capability Building
- Build and lead a global, high-performing Data & AI organisation.
- Establish agile delivery squads and internal capability pipelines (including university and early-career programs).
- Foster a culture of accountability, experimentation, and continuous learning.
Jobs To Be Done (JTBD)
The successful candidate will be expected to deliver tangible outcomes, not just strategy.
1. Enable Scalable Global Delivery
- Reduce dependence on linear headcount growth by embedding AI, automation, and analytics into accounting, payroll, governance, and compliance workflows.
- Support Vistra's global delivery hubs (e.g., India, ASEAN, China) with standardized, AI-enabled platforms.
2. Turn Data into a Competitive Advantage
- Create a unified, enterprise data foundation across fragmented core systems and SaaS platforms.
- Ensure data is reliable, accessible, and decision-ready for leaders, clients, and regulators.
3. Drive Measurable Business Impact from AI
- Identify and prioritize high-value use cases (e.g., productivity lift, error reduction, risk detection, client insights).
- Ensure all AI and analytics initiatives deliver quantifiable ROI, not experimentation for its own sake.
4. Embed Responsible AI in a Regulated Environment
- Operationalize data governance, privacy-by-design, ethical AI, and explainability across regions.
- Ensure compliance with Singapore, EU, and other relevant regulatory frameworks.
5. Build a World-Class Data & AI Capability
- Attract, develop, and retain elite data engineers, data scientists, ML engineers, and analytics talent.
- Establish delivery squads that partner directly with business and operations teams.
- Build internal capability rather than long-term dependency on external vendors.
Experience & Qualifications
Required
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or related field.
- 10+ years experience in data, analytics, AI, or ML roles.
- 5+ years in senior leadership roles managing large, cross-functional teams.
- Demonstrated success delivering production-grade AI and data platforms at enterprise scale.
- Strong experience with modern cloud-based data and analytics stacks (e.g. AWS, Azure, GCP).
- Deep understanding of data governance, privacy, and AI risk in regulated environments.
- Proven ability to translate complex technical concepts into executive and commercial outcomes.
Preferred
- Experience leading data and AI transformation in regulated, multi-jurisdictional organisations (financial services, professional services, or similar).
- Hands-on exposure to Generative AI, LLMs, and advanced automation use cases.
- Experience operating in global delivery or shared services models.
Leadership Standards:
- Enterprise Orientation – Makes decisions based on what is best for the enterprise P&L.
- Judgment and Decision Authority – makes timely, high-quality decisions under ambiguity, owns consequences and does not escalate avoidable risk upwards.
- Change Leadership and Transformation Delivery – Personally leads and lands major change ensuring adoption, behavior change, and realized benefits.
- Influence without authority – creates alignment and movement across peers, regions and functions without relying on hierarchy or escalation.
- Future-relevant capability and mindset – Possesses the skill, adaptability and mindset required for Vistra's 2025 – 2028 operating model: platformitisation, digital enablement, global simplification, and commercial discipline.
What Vistra Offers
- Competitive executive compensation and performance-based incentives.
- Opportunity to shape Vistra's global AI and data future.
- Significant influence across strategy, operations, and client experience.
- A complex, high-impact environment where AI outcomes matter.
