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Data Processing Manager Jobs in Maynard, MA (NOW HIRING)

Pwc

AIT - AI Data Scientist Manager

Boston, MA · On-site

$99K - $297K/yr

... processing - Utilizing machine learning and deep learning techniques to drive innovation and ... data science projects - Managing project timelines and deliverables to align with client ...

Verisk

Data Architect

Boston, MA · On-site

$69.25 - $89/hr

Responsibilities : • Lead the architecture, design, and implementation of cloud-native data platforms -- including ingestion, storage, processing, metadata management, governance, and analytics ...

Motion Recruitment

Principal Data Engineer

Boston, MA · On-site

... Data Processing • 10% Data Architecture & Governance Daily Responsibilities • 85% Hands On • 0% Management Duties • 15% Team Collaboration • Design, build, and maintain scalable ETL ...

Navtech, Inc.

Senior AWS Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Responsible for managing and optimizing data processing systems and infrastructure for client; Specializes in specific solutions (e.g., Scala, java, micro strategy) or functional domains such as big ...

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See Maynard, MA salary details

$36.5K

$55.5K

$72.4K

How much do data processing manager jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data processing manager in Maynard, MA is $55,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $66,100.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a Data Processing Manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

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

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

Are data managers in demand?

Data processing managers are in high demand due to the increasing reliance on data-driven decision making across industries. They typically require strong analytical skills, knowledge of data management tools, and experience with data governance, making their roles essential in organizations seeking to optimize data workflows.

What is the highest paying job in data?

In data-related fields, executive roles such as Chief Data Officer (CDO) or Chief Data Scientist tend to be the highest paying, often earning six-figure salaries or more. These positions require extensive experience, leadership skills, and expertise in data strategy, analytics, and governance.

Is a data processor a stressful job?

A data processing manager role can be stressful due to tight deadlines, high accuracy requirements, and managing large volumes of data. The job often involves attention to detail, problem-solving skills, and working with data management tools, which can contribute to workload pressure.

What does a Data Processing Manager do?

A Data Processing Manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. The role often requires strong leadership, problem-solving skills, and knowledge of data security and compliance standards.
What job categories do people searching Data Processing Manager jobs in Maynard, MA look for? The top searched job categories for Data Processing Manager jobs in Maynard, MA are:
What cities near Maynard, MA are hiring for Data Processing Manager jobs? Cities near Maynard, MA with the most Data Processing Manager job openings:
Data Processing Manager jobs near you

Staff Data Scientist - Verification & Validation

Zoox

Boston, MA • On-site

$256K - $307K/yr

Full-time

Posted 17 days ago

Job description

Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Staff Data Scientist to join a verification and validation team that evaluates safety-critical AI systems.

You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing. You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines. These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service. The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward. This is a deeply technical and hands-on role where you will be expected to be a self-sufficient builder and coder, not just a manager of projects. 

In this role, you will:

  • Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability.

  • Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures.

  • Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions.

  • Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies.

  • Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation.

  • Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data.

Qualifications:
  • MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field
  • Proficiency in Python and SQL with experience in production-quality code
  • Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis.
  • Experience with large-scale data analysis and statistical modeling
  • Proficiency with Git, unit testing, and collaborative development practices
Bonus Qualifications:

  • Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines

  • Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks

  • Experience with designing metrics and delivering actionable insights that drive  business decisions

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.