Director, Decision Intelligence

Kroll; Dallas (TX); On-site; USD 180,000 - 280,000; Full time

Job summary

Kroll's Decision Intelligence practice helps clients make financially significant decisions by turning complex data into clear insights. The team blends finance, data science and AI to deliver analytics, reporting and data monetization solutions.

Join a senior advisory environment where you lead client engagements, shape analytics strategies, and drive AI-enabled decision support across US markets. This role emphasizes client impact, cross-practice collaboration, and ongoing business development.

Qualifications

• Bachelor's degree in Finance, Accounting, Economics, Engineering, Mathematics, Computer Science or Analytics; MBA/MS preferred.
• Minimum 8 years in advisory, consulting, corporate finance or analytics-led roles with leadership experience.
• Hands-on delivery in data services, FP&A modernization, analytics, forecasting, or AI-enabled decision support.
• Cross-practice collaboration and strong client-facing capabilities.
• Working fluency with modern analytics tools and cloud platforms; strong technical depth valued.
• Experience applying generative AI to analytics and reporting workflows.

Responsibilities

• Originate and convert opportunities through Kroll's client platform, partnering with multiple teams to embed Decision Intelligence.
• Develop and maintain senior client relationships, acting as trusted advisor on analytics and AI-enabled decision support.
• Lead design of structured analytics solutions, including reporting modernization, data workflows, and forecasting models.
• Oversee delivery to ensure quality, commercial discipline and a consistent client experience across engagements.
• Contribute to collateral and joint pursuit playbooks, including pricing structures and scoping methodologies.
• Represent Decision Intelligence in cross-practice strategy conversations and external market presence.

Skills

Python

SQL

Power BI

Tableau

Alteryx

Databricks

Azure

Education

Bachelor's degree in Finance, Accounting, Economics, Engineering, Mathematics, Computer Science or Analytics

MBA or MS preferred

Tools

Excel

Job description

Kroll's Decision Intelligence practice supports clients in making financially significant decisions by transforming complex financial data into clear, practical insights. The team combines financial and commercial expertise with data science and AI to deliver solutions across transaction analytics, reporting, AI applications and data monetization.

Responsibilities

• Originate and convert opportunities through Kroll's existing client platform, partnering with Transaction Advisory, Portfolio Valuation, Financial Advisory and Accounting Advisory teams to embed Decision Intelligence within active client mandates
• Develop and maintain senior client relationships across financial sponsors, portfolio operations teams and corporate finance leadership, acting as a trusted advisor on analytics, reporting and AI-enabled decision support
• Lead the design of structured analytics solutions for client problems, including reporting modernization, data workflow design, financial and operational analytics, scenario and forecasting models, and AI-enabled tools that accelerate insight generation
• Oversee delivery to ensure technical quality, commercial discipline and a consistent client experience across engagements
• Contribute to the development of collateral and joint pursuit playbooks, including pricing structures, scoping methodologies and reusable frameworks
• Represent Decision Intelligence in cross-practice strategy conversations and contribute to the practice's thought leadership and external market presence

Requirements

• Bachelor's degree from an accredited college or university in Finance, Accounting, Economics, Engineering, Mathematics, Computer Science, Analytics or a related field; advanced degree (MBA, MS) preferred
• Minimum 8 years of relevant work experience in advisory, consulting, corporate finance, financial sponsor or analytics-led roles, with a track record of leading client engagements and converting event-driven work into recurring relationships
• Hands-on delivery experience in several of the following: managed data services, reporting and FP&A modernization, financial and operational analytics, scenario and forecasting modeling, M&A integration analytics, transaction analytics, or AI-enabled decision support
• Comfortable working across practices and disciplines to deliver integrated client propositions and solutions
• Working fluency with modern analytics tools and environments (e.g., Python, SQL, Power BI, Tableau, Alteryx, Databricks, Azure or comparable cloud platforms); technical depth is valued, but the role is primarily commercial and client-facing
• Practical experience applying generative AI and modern AI-enabled tooling to analytics and reporting workflows, with a clear point of view on where these technologies create client value
• Strong commercial acumen, with the ability to scope, price and structure both fixed-fee and recurring engagements
• Excellent verbal and written communication skills, including the ability to present analytical insight clearly to senior client stakeholders
• Strong personal motivation to grow client relationships and help shape how Decision Intelligence develops in the US market
• Willingness to travel domestically as needed to support client engagements and internal collaboration across Kroll's US offices

About Kroll

Join the global leader in risk and financial advisory solutions—Kroll. With a nearly century-long legacy, we blend trusted expertise with cutting‑edge technology to navigate and redefine industry complexities. As a part of One Team, One Kroll, you'll contribute to a collaborative and empowering environment, propelling your career to new heights. Ready to build, protect, restore and maximize our clients' value? Your journey begins with Kroll.

We are proud to be an equal opportunity employer and will consider all qualified applicants regardless of gender, gender identity, race, religion, color, nationality, ethnic origin, sexual orientation, marital status, veteran status, age or disability.