Vice President of Data Science

Job Description

About the Organization

We are a global technology powerhouse redefining how intelligence is created, operationalized, and scaled across the modern enterprise. Operating at the convergence of hyperscale cloud infrastructure, artificial intelligence, and real-time data ecosystems, our organization enables some of the world’s most complex institutions to make faster, more informed, and more strategic decisions.

Our platform supports large-scale data ingestion, distributed computing, and advanced model deployment across industries, including financial services, healthcare innovation, defense systems, energy transition, and digital commerce. We are not simply building models; we are building decision intelligence systems that power critical business and societal outcomes.

At the core of this transformation is our Data Science organization, a multidisciplinary team of experts spanning machine learning, statistical modeling, data engineering, and applied research. This team is responsible for developing predictive systems, optimizing operations, and driving measurable impact across revenue, risk, customer experience, and product innovation.

The Vice President of Data Science will serve as a key member of the executive leadership team, responsible for defining and scaling the enterprise-wide data science strategy. This role requires a unique blend of technical mastery, business acumen, and organizational leadership capable of translating complex data into strategic advantage.

You will lead global teams, influence board-level decisions, and shape the future of AI-driven enterprise intelligence.

Essential Duties and Responsibilities

• Define and execute the organization’s global data science strategy aligned with long-term business objectives and growth priorities

• Lead and scale high-performing data science teams across geographies, including machine learning, applied AI, and advanced analytics functions

• Architect and oversee the development of predictive models, optimization algorithms, and AI-driven decision systems

• Partner with executive leadership to embed data-driven decision-making across product, operations, finance, and customer experience

• Drive innovation in machine learning, including deep learning, NLP, reinforcement learning, and generative AI applications

• Oversee the full lifecycle of model development, deployment, monitoring, and governance

• Collaborate with data engineering and platform teams to ensure scalable, secure, and high-performance data infrastructure

• Establish best practices in model validation, explainability, fairness, and regulatory compliance

• Translate complex analytical insights into actionable strategies for executive stakeholders and board members

• Lead cross-functional initiatives that integrate data science into core business processes and revenue-generating activities

• Build partnerships with external research institutions, technology partners, and industry experts

• Oversee data science budget, resource allocation, and ROI measurement across initiatives

Job Qualifications and Requirements

• PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field

• 15+ years of progressive experience in data science, machine learning, or advanced analytics, with at least 7+ years in leadership roles

• Proven track record of building and scaling enterprise data science organizations

• Deep expertise in machine learning frameworks, statistical modeling, and large-scale data systems

• Experience working within AI-driven, cloud-native, or enterprise SaaS environments

• Strong understanding of data architecture, distributed systems, and modern data platforms (e.g., Spark, Databricks, Snowflake)

• Demonstrated ability to drive business impact through data science initiatives (revenue growth, cost optimization, risk reduction)

• Experience with MLOps, model governance, and AI lifecycle management

• Familiarity with regulatory frameworks related to data privacy, AI ethics, and compliance (e.g., GDPR, SOC 2, industry-specific regulations)

• Exceptional communication skills with the ability to engage executive leadership and board stakeholders

Personal Capabilities and Qualifications

• Visionary leader with the ability to define and execute long-term data and AI strategies

• Strong business acumen with the ability to connect data science initiatives to measurable business outcomes

• Exceptional leadership presence with experience influencing senior executives and board members

• Ability to balance innovation with operational discipline and scalability

• Highly analytical mindset combined with strategic thinking

• Collaborative approach with the ability to lead cross-functional, global teams

• Commitment to ethical AI practices and responsible data usage

Strategic Support

• Serve as a strategic advisor to the CEO, CTO, and executive leadership team on data-driven transformation initiatives

• Support corporate strategy, including market expansion, product innovation, and investment decisions

• Align data science initiatives with investor expectations and long-term enterprise value creation

• Contribute to M&A evaluations, including technical due diligence and integration of data capabilities

• Drive thought leadership in AI and data science through industry engagement, publications, and executive forums

• Support board-level reporting on data strategy, innovation, and performance metrics

Working Conditions

• Fully remote within the United States with flexibility for global collaboration

• Regular interaction with executive leadership, board members, and external stakeholders

• Periodic travel required for leadership meetings, global summits, and industry conferences

• High-impact, high-visibility role within a fast-scaling, innovation-driven organization

• Dynamic environment requiring both strategic foresight and operational execution

Job Function

• Executive Data Science Leadership

• Machine Learning & AI Strategy

• Advanced Analytics & Decision Intelligence

• Data-Driven Product & Business Innovation

• Enterprise Data Transformation

Compensation & Benefits

• Compensation Package: $368,000 – $480,000 (base salary aligned with executive scope and organizational impact)

• Performance-based executive bonus tied to strategic KPIs and business outcomes

• Significant equity participation in a high-growth, market-leading enterprise

• Comprehensive executive health, dental, and vision plans

• Retirement and wealth management programs

• Flexible PTO and executive wellness initiatives

• Leadership development, global exposure, and board-level engagement opportunities

• Access to cutting-edge AI infrastructure and research ecosystems

Why Join Us

• Shape the future of enterprise intelligence in one of the fastest-growing and most impactful sectors: AI and data science

• Operate as a key member of the executive leadership team with direct influence on global strategy

• Lead world-class teams solving complex, high-value problems at scale

• Join an organization with significant market momentum, global reach, and long-term vision

• Drive meaningful impact across industries through innovation, data, and advanced analytics