Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Deloitte Strategic Analytics helps executive leaders and cross-functional stakeholders turn finance and operational data into decisions that support growth. In this onsite Houston role, you’ll lead work that builds and deploys AI/ML and generative AI solutions for Finance and FP&A, with an emphasis on cloud data pipelines and model deployment workflows. You’ll partner closely with finance and operations teams to translate business needs into actionable insights and production-ready outcomes.

What you’ll do

• Design, develop, and deploy artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
• Build and maintain scalable data pipelines, application programming interfaces (APIs), and model deployment workflows in cloud environments
• Partner with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
• Support the development of generative AI use cases, prototypes, and production-ready products aligned to strategic priorities
• Monitor solution performance, maintain technical documentation, and identify opportunities to improve reliability, efficiency, and adoption

Team and impact

The Strategic Analytics organization combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights for critical business decisions. Generative AI is a key strategic priority, with a focus on creating value across the organization and for clients through products and solutions. This role contributes directly to high-impact initiatives that advance innovation and business transformation.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
• 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
• 3+ years of experience developing solutions using Python
• 2+ years of experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• 2+ years of experience using Structured Query Language (SQL) and working with relational or distributed data platforms
• Ability to travel 0-10%, on average, based on the work performed and the clients and industries/sectors served
• Limited immigration sponsorship may be available
• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

Preferred

• Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field
• Experience developing generative AI or large language model solutions
• Experience with machine learning operations tooling and model deployment frameworks
• Experience building APIs or production data products
• Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
• Experience with data visualization tools such as Tableau or Power BI

Tools you’ll use

• Python, Amazon Web Services, Microsoft Azure, Google Cloud Platform
• SQL, Tableau, Power BI

Compensation and incentives

Location: Houston, TX (onsite). Salary range: USD 102,500 - 188,900 per year. You may also be eligible to participate in a discretionary annual incentive program, subject to program rules, where any award depends on factors including individual and organizational performance.