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Behavioural Science Manager Jobs (NOW HIRING)

In addition, leveraging an interdisciplinary approach that combines business acumen, applied statistics, behavioral science, and technology managing robust analytical frameworks and execution across ...

In addition, leveraging an interdisciplinary approach that combines business acumen, applied statistics, behavioral science, and technology managing robust analytical frameworks and execution across ...

In addition, leveraging an interdisciplinary approach that combines business acumen, applied statistics, behavioral science, and technology managing robust analytical frameworks and execution across ...

... managed PTO, and other unique incentives that celebrate your accomplishments. * Remote and Hybrid Work * Time Off When You Need It * Benefits That Flex * Professional Development While benefits ...

... behaviors. As the scope and urgency of Integrity work expands across product surfaces and go-to-market motion, we're hiring a dedicated Data Science Manager to scale the team, strengthen execution ...

... customer behavioral data to make them more personalized for each customer. We are searching for ... You'll be working with talented scientists, engineers, and technical program managers (TPM) to ...

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Behavioural Science Manager information

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$34K

$74.9K

$120K

How much do behavioural science manager jobs pay per year?

As of Jul 21, 2026, the average yearly pay for behavioural science manager in the United States is $74,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $87,500.00 per year, depending on experience, location, and employer.

Does behavioral science pay well?

Behavioral Science Managers typically earn competitive salaries that vary by industry, experience, and location. In general, they can expect higher-than-average pay due to their specialized skills in psychology, data analysis, and strategic planning, often complemented by advanced degrees or certifications. Salary ranges can be influenced by the size of the organization and the complexity of projects they oversee.

What can I do with a career in behavioural sciences?

A career in behavioural sciences, such as a Behavioural Science Manager role, involves applying psychological and social principles to influence decision-making, improve user experience, or develop policies. Professionals in this field often work in research, consulting, or corporate environments, utilizing data analysis and behavioral models to solve real-world problems. Skills in research methods, data analysis, and understanding human behavior are essential for success in this career path.

What is the difference between Behavioural Science Manager vs Data Analyst?

AspectBehavioural Science ManagerData Analyst
Required credentialsMaster's or PhD in Psychology, Behavioral Economics, or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work environmentDesigning behavioral interventions, leading research teams, applying psychology principlesAnalyzing data sets, creating reports, supporting decision-making with data insights
Employer and industry usageUsed in marketing, healthcare, tech, and consulting firms focusing on behavior changeCommon across finance, marketing, tech, and healthcare for data-driven decisions

The Behavioural Science Manager focuses on applying psychological principles to influence behavior and lead research teams, often in industries like healthcare and marketing. In contrast, a Data Analyst primarily interprets data to support business decisions. While both roles require analytical skills, the Behavioural Science Manager emphasizes behavioral research and intervention design, making it distinct in scope and expertise.

What is the highest paying job in behavioral health?

In behavioral health, senior-level roles such as Behavioral Health Director or Clinical Director tend to have the highest salaries, often exceeding six figures. These positions typically require extensive experience, advanced certifications, and strong leadership skills, and they oversee large teams or programs within healthcare organizations or mental health facilities.

What are the key skills and qualifications needed to thrive as a Behavioural Science Manager, and why are they important?

To thrive as a Behavioural Science Manager, you need expertise in behavioral and social science research, data analysis, and a relevant degree such as psychology, behavioral economics, or a related field. Familiarity with statistical software (e.g., SPSS, R, or Python), research methodologies, and sometimes certifications in project management or behavioral science are commonly required. Strong leadership, communication, and stakeholder management skills help differentiate top performers in this role. These skills and qualifications enable effective design, implementation, and evaluation of interventions that drive organizational or public behavior change.

How does a Behavioural Science Manager typically collaborate with cross-functional teams within an organization?

A Behavioural Science Manager frequently works alongside marketing, product development, data analytics, and UX teams to integrate behavioral insights into organizational strategies and initiatives. They often translate complex behavioral research into actionable recommendations, lead workshops, and provide guidance on implementing interventions that drive user engagement or behavior change. Effective communication and the ability to bridge the gap between scientific research and business objectives are critical, as collaboration is key to ensuring behavioral science principles are embedded throughout the organization.

What does a Behavioural Science Manager do?

A Behavioural Science Manager leads teams that apply principles of psychology, sociology, and behavioral economics to solve business or policy challenges. They design, implement, and evaluate interventions aimed at influencing people's behavior in areas such as health, finance, or workplace productivity. Their responsibilities often include overseeing research projects, collaborating with stakeholders, and translating scientific insights into practical strategies. The ultimate goal is to drive positive behavioral change through evidence-based methods.

Is behavioral science in high demand?

Behavioral science managers are increasingly in demand as organizations seek to apply insights from psychology and data analysis to improve decision-making, marketing, and policy. The growth of data-driven strategies and cross-disciplinary skills has expanded opportunities in both private and public sectors.
More about Behavioural Science Manager jobs
What cities are hiring for Behavioural Science Manager jobs? Cities with the most Behavioural Science Manager job openings:
Decision Science Manager

Decision Science Manager

Truist

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Truist rating

8.0

Company rating: 8.0 out of 10

Based on 116 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:This role is required to work in office at one of the locations listed on the requisition.
This role of Decision Science leader will work to shape and deliver high-impact, data-driven strategies to accelerate performance. Responsibilities will include but are not limited to: the structuring of ambiguous problems, synthesizing complex information, and driving alignment across senior stakeholders. The role will partner closely with Product Groups and Lines of Business to understand key drivers, align on quantifiable goals, and influence decisioning and prioritization through advanced analytics.
In addition, leveraging an interdisciplinary approach that combines business acumen, applied statistics, behavioral science, and technology managing robust analytical frameworks and execution across the full analytics lifecycle. This includes sourcing, cleaning, and validating data; performing KPI and trend analyses; and applying modeling, optimization, and statistical techniques to uncover actionable insights.
Collaboration across functions is required-including data management, strategy, product, and technology teams-to embed analytics into decision-making at scale. Using advanced tools such as machine learning and generative AI (including large language models), to accelerate insight generation and elevation of analytical rigor. Translating complex findings into clear, executive-ready narratives that influence strategy and drive alignment, with success measured by the quality of decisions enabled and the quantifiable business results delivered.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Responsible for leading a team of Decision Scientists in support of high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
2. Responsible for talent acquisition, coaching, and organization of decision science professionals possessing highly technical skills, an understanding of business processes, natural curiosity, and a drive to excellence in pursuit of business optimization and impact.
3. Drive integration of team culture (who we are), connection between analysis and strategic focus (how we win), and consistency in deliverables (what good looks like). Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
4. Foster communication and partnership across all levels of the organization including engagement with senior leadership and C-Suite, Truist Executive Leadership Team. Responsible for stewarding relationships, delivering on promises, and building trust with partners while delivering on LOB and company goals.
5. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.
6. Drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
7. Represent assigned business group in various forums, work streams, and executive reviews. Cultivate relationships with partner federated and hub analytics teams to drive efficient decision science delivery against shared objectives.
8. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.

QUALIFICATIONS
Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills
2. Bachelor's degree or equivalent education and related training or experience, and 10+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
3. 7+ years of analytics management experience with a diverse project focus and demonstrated results
4. Must be a people leader, able to manage in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
5. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact
6. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact
7. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact
8. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness
9. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)

Preferred Qualifications:
1. Master's or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. 15+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering

The annual base salary for this position could fall within the range of $140,000 - $150,000.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019