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Decision Intelligence Jobs (NOW HIRING)

Director, Decision Intelligence Kroll's Decision Intelligence practice supports clients in making financially significant decisions by transforming complex financial data into clear, practical ...

Our partner is looking for a Decision Intelligence Analyst based in Netherlands. This role sits at the core of an AI-driven decision intelligence platform, where the focus is not just on generating ...

Director, Decision Intelligence Kroll's Decision Intelligence practice supports clients in making financially significant decisions by transforming complex financial data into clear, practical ...

Responsibilities Responsibilities Peraton Labs is seeking an AI/ML Decision Intelligence Lead to support the BNATCS CTO organization in developing advanced analytics, AI-enabled decision support, and ...

Responsibilities Responsibilities Peraton Labs is seeking an AI/ML Decision Intelligence Lead to support the BNATCS CTO organization in developing advanced analytics, AI-enabled decision support, and ...

AI/ML Decision Intelligence Lead

Herndon, VA ยท On-site

$146K - $234K/yr

Responsibilities Responsibilities Peraton Labs is seeking an AI/ML Decision Intelligence Lead to support the BNATCS CTO organization in developing advanced analytics, AI-enabled decision support, and ...

Responsibilities Responsibilities Peraton Labs is seeking an AI/ML Decision Intelligence Lead to support the BNATCS CTO organization in developing advanced analytics, AI-enabled decision support, and ...

Responsibilities Responsibilities Peraton Labs is seeking an AI/ML Decision Intelligence Lead to support the BNATCS CTO organization in developing advanced analytics, AI-enabled decision support, and ...

... make every decision at Deepgram faster, sharper, and more informed. We are not looking for a ... Your mission: build the Intelligence Layer - a system of autonomous agents that monitor, reason ...

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Decision Intelligence information

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$11K

$100.6K

$133K

How much do decision intelligence jobs pay per year?

As of Jul 8, 2026, the average yearly pay for decision intelligence in the United States is $100,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is decision intelligence?

Decision intelligence is a multidisciplinary field that combines data science, behavioral science, and management to improve decision-making processes. It involves analyzing data, modeling scenarios, and applying insights to support strategic and operational choices, often using tools like analytics platforms and visualization software.

What jobs pay 4000 a week without a degree?

Decision Intelligence roles typically require advanced education or specialized skills; however, high-paying jobs without a degree include sales managers, real estate brokers, commercial pilots, and certain skilled trades like electricians or plumbers, which can pay around or above $4,000 weekly with experience. Success in these fields often depends on experience, certifications, and performance rather than formal degrees.

What's a good job for overthinkers?

Decision Intelligence roles involve analyzing data and modeling complex systems, which can suit overthinkers who enjoy detailed analysis and problem-solving. These jobs often require strong critical thinking, proficiency with data tools, and patience for thorough evaluation. They are typically performed in office or remote environments with a focus on strategic decision-making.

What jobs make $1,000,000 a year?

In decision intelligence and related fields, high-earning roles such as chief data officers, chief analytics officers, and senior data scientists can reach or exceed $1 million annually, especially in large corporations or tech firms. These positions typically require advanced skills in data analysis, machine learning, and strategic decision-making, along with extensive experience and leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Decision Intelligence professional, and why are they important?

To thrive as a Decision Intelligence professional, you need a strong background in data analysis, statistics, and business strategy, often supported by a degree in data science, analytics, or a related field. Familiarity with tools like Python, R, SQL, machine learning platforms, and data visualization software (e.g., Tableau, Power BI) is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex data insights into actionable business recommendations. These skills ensure that data-driven decisions are accurate, strategic, and clearly understood by stakeholders, driving organizational success.

How does a Decision Intelligence professional typically collaborate with other departments within an organization?

Decision Intelligence professionals work closely with teams such as data science, business operations, product management, and executive leadership. They translate complex data analyses into actionable recommendations, ensuring that insights align with business goals. Regular cross-functional meetings and workshops are common, as decision intelligence experts facilitate understanding between technical and non-technical stakeholders. This collaborative environment not only enhances data-driven decision-making but also helps professionals grow their communication and project management skills.
More about Decision Intelligence jobs
What states have the most Decision Intelligence jobs? States with the most job openings for Decision Intelligence jobs include:
Infographic showing various Decision Intelligence job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $100,573 per year, or $48.4 per hour.
Director, Decision Intelligence

Director, Decision Intelligence

Kroll

New York, NY โ€ข On-site

Full-time

Re-posted 12 days ago


Job description


Director, Decision Intelligence
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.
In order to be considered for a position, you must formally apply via careers.kroll.com.
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.
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