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Model Validation Manager Jobs in Massachusetts (NOW HIRING)

Validation Engineer

Boston, MA · On-site

$72K - $80K/yr

... 3. Project & Team Management - Plan and coordinate work - Direct small teams in document ... relationships - Models integrity and company values - Seeks out growth and breakthrough ...

Experience with Trustworthy AI, AI governance, model validation, or AI regulatory risk management * Experience serving clients in the Technology, Media & Telecommunications industry * Experience ...

Validation Engineer

Boston, MA · On-site

$72K - $80K/yr

... 3. Project & Team Management - Plan and coordinate work - Direct small teams in document ... relationships - Models integrity and company values - Seeks out growth and breakthrough ...

Experience with Trustworthy AI, AI governance, model validation, or AI regulatory risk management * Experience serving clients in the Technology, Media & Telecommunications industry * Experience ...

... 3. Project & Team Management - Plan and coordinate work - Direct small teams in document ... relationships - Models integrity and company values - Seeks out growth and breakthrough ...

... Validation Risk Manager, you will play a pivotal role within our Risk & Regulatory practice ... You will utilize skills in data manipulation, visualization, and statistical modeling to support ...

Showing results 41-60

Model Validation Manager information

See Massachusetts salary details

$51.9K

$115.1K

$175.3K

How much do model validation manager jobs pay per year?

As of Sep 12, 2026, the average yearly pay for model validation manager in Massachusetts is $115,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,400.00 and $144,200.00 per year, depending on experience, location, and employer.

What does a model validation manager do?

A Model Validation Manager is responsible for overseeing the validation of financial, risk, or predictive models within an organization. Their primary duties include ensuring that models are accurate, reliable, and compliant with regulatory requirements. They lead teams that assess model performance, identify potential weaknesses, and recommend improvements. This role helps maintain the integrity of models used in decision-making processes, particularly in industries like banking and finance.

What skills and qualifications are needed to be a model validation manager?

To thrive as a Model Validation Manager, you need strong quantitative analysis skills, knowledge of risk management, and an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with technical tools such as Python, R, SAS, and model risk management frameworks, as well as experience with regulatory compliance, is typically required. Exceptional problem-solving, communication, and stakeholder management abilities are important soft skills for this role. These skills ensure effective validation of financial models, regulatory compliance, and clear communication of complex findings to non-technical audiences.

How does a model validation manager collaborate with other teams during the model validation process?

A Model Validation Manager works closely with model developers, risk management teams, and internal audit to ensure models meet regulatory and business standards. Collaboration often involves reviewing model documentation, discussing model assumptions and methodologies, and providing feedback for improvements. Effective cross-functional communication is essential, as validation managers must balance technical analysis with regulatory compliance and business objectives. Regular meetings and clear reporting lines help facilitate this collaboration, ensuring that model risks are identified and addressed promptly.

What is the difference between Model Validation Manager vs Quantitative Analyst?

AspectModel Validation ManagerQuantitative Analyst
CredentialsTypically requires advanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM are commonOften holds degrees in finance, economics, or mathematics; certifications like CFA are also common
Work EnvironmentWorks in risk management, model validation teams within banks or financial institutionsWorks in trading, investment analysis, or risk departments within financial firms
Industry UsagePrimarily in banking, asset management, and financial services for model risk assessmentAcross investment firms, hedge funds, and banks for market analysis and trading strategies

The Model Validation Manager focuses on reviewing and validating financial models to ensure accuracy and compliance, often working within risk management teams. In contrast, a Quantitative Analyst develops and applies mathematical models for trading, investment, or risk purposes. While both roles require strong quantitative skills and similar credentials, their core responsibilities and work environments differ significantly.

What are the most commonly searched types of Model Validation jobs in Massachusetts?

The most popular types of Model Validation jobs in Massachusetts are:

What are popular job titles related to Model Validation Manager jobs in Massachusetts?

For Model Validation Manager jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Model Validation Manager jobs in Massachusetts look for?

The top searched job categories for Model Validation Manager jobs in Massachusetts are:

What cities in Massachusetts are hiring for Model Validation Manager jobs?

Cities in Massachusetts with the most Model Validation Manager job openings:

Infographic showing various Model Validation Manager job openings in Massachusetts as of September 2026, with employment types broken down into 79% Full Time, 12% Part Time, and 9% Contract. Highlights an 69% In-person, 20% Hybrid, and 11% Remote job distribution, with an average salary of $115,126 per year, or $55.3 per hour.

Head of Biotherapeutics Data and Modeling Applications

Lexington, MA • On-site

Takeda Pharmaceutical
Investment Clubs and Venture Capital Companies • 1 - 10 employees

Full-time

Posted 8 days ago


Takeda Pharmaceuticals rating

7.3

Company rating: 7.3 out of 10

Based on 71 frontline employees who took The Breakroom Quiz


Job description

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use.  I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

Job Description: Head of Biotherapeutics Data and Modeling Applications (Director)

About the role:
You will lead the Biotherapeutics Data and Modeling function, responsible for defining and delivering data, digital and modeling capabilities that enable reliable, high‑quality biotherapeutic development and manufacturing. This role combines leadership of data and modeling teams with responsibility for identifying and deploying data platforms and analytics tools in close collaboration with the digital, data and technology organization (DD&T). You will drive a modeling strategy that produces robust and predictive models of internal platform processes, ensure alignment with quality and regulatory expectations, and bring external industry insights into the technology roadmap to keep our capabilities current and competitive.
How you will contribute:
• You will lead and grow a team of data engineers and modelers, setting strategy, priorities and measures of success.
• Identify and deploy data and digital platforms and tools in partnership with the digital, data and technology organization (DD&T) to support process development and scale‑up to manufacturing.
• Drive the modeling strategy to establish robust, validated predictive models of our internal platform processes, combining mechanistic modeling, statistical modeling and machine learning where appropriate.
• Translate model outputs into operational decisions and control strategies that improve quality, yield, cost, safety, reliability and performance.
• Partner with process development, operations, quality, and information technology to ensure models and platforms meet validation and data integrity requirements.
• Align and influence data governance, architecture and best practices for data capture, lineage, storage, and access to enable reproducible models and analytics in collaboration with peers in PharmSci.
• Maintain an active external presence and professional network to monitor industry‑leading data and digital trends, evaluate new technologies, and incorporate relevant insights into the technology roadmap.
• Manage vendor selection, partnerships and external collaborations in collaboration with partners in PharmSci and R&D DD&T for data engineering and modeling tools.
• Provide strategic oversight of budgets, schedules and major initiatives while mentoring team members.
Skills and qualifications:
• Minimum of ten years of relevant experience in biotherapeutics, bioprocess development, data science, computational modeling or related fields, including at least five years in a leadership role.
• Advanced degree in engineering, computational biology, data science, statistics, or a closely related discipline; doctoral degree preferred but not required.
• Demonstrated experience identifying and deploying enterprise data platforms and digital tools that support biologics development.
• Proven track record building and validating predictive models for process performance using mechanistic approaches, statistical methods and machine learning, and translating models into operational controls.
• Strong understanding of regulatory expectations and quality systems for data and models in regulated environments, including data integrity and model validation practices.
• Hands‑on knowledge of data engineering and cloud technologies, data architecture, database systems, and modern tooling for model development and deployment.
• Experience collaborating across process development, quality and IT teams to implement data‑driven solutions.
• Excellent interpersonal and communication skills, including presenting technical concepts to non‑technical audiences and representing the organization externally.
• Experience managing vendors and external partnerships, and a track record of building professional networks and engaging with academic or industry collaborators.
• Familiarity with process improvement methodologies such as Six Sigma or Lean is desirable.
As a leader of a data and modeling function, serve as a point of  contact for contracts and operations specific to biologics development. Your responsibilities include conducting high-level briefings and technical meetings, and interacting with managers of equivalent status.. You will provide strategic direction and oversight to team members, prioritizing the successful execution of BPD specific initiatives and ensuring that budgets, schedules, and performance standards are both realistically established and achieved. Your role focuses on both strategic impact and support of day-to-day operations.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. 

For Location:

Lexington, MA

U.S. Base Salary Range:

$177,000.00 - $278,080.00


The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. 


For information about our benefits, please click here.


EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

LocationsLexington, MA Worker TypeEmployee Worker Sub-TypeRegular Time TypeFull time

Job Exempt

Yes It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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About Takeda Ventures

Sourced by ZipRecruiter

Industry

Investment clubs and venture capital companies, pharmaceutical product wholesalers and pharmaceutical and medicine manufacturing

Company size

1 - 10 Employees

Headquarters location

San Diego, CA, US

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