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Data Protection Jobs in Buffalo, NY (NOW HIRING)

Test Data Management Team Lead

Buffalo, NY

$46 - $62.75/hr

Drive implementation of data masking, sensitive data protection controls, and compliant test data provisioning strategies. Define and track key performance indicators, including: * Automation ...

Test Data Management Team Lead

Buffalo, NY · On-site

$46 - $62.75/hr

Drive implementation of data masking, sensitive data protection controls, and compliant test data provisioning strategies. Define and track key performance indicators, including: * Automation ...

Senior Cloud Data Engineer

Buffalo, NY · On-site +1

$102K - $139K/yr

Data pipelines and integration approaches, Storage, partitioning, and lifecycle management, Access control, encryption, and data protection, Monitoring, observability, and operational support

Data protection and Class 4/5 data obfuscation in lower (non-production) environments * SDLC quality controls, testing evidence, and verification standards * Enterprise test tooling, test case ...

Understanding of data protection principles including data classification, data loss prevention (DLP), and privacy regulations * Experience monitoring, auditing, and enforcing technology usage ...

Understanding of data protection principles including data classification, data loss prevention (DLP), and privacy regulations * Experience monitoring, auditing, and enforcing technology usage ...

... save costs, protect revenues, and manage emissions aligned with business objectives and ... You move fluidly between data science, prototyping, and product thinking, and you're just as ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... status protected by law. PwC does not intend to hire experienced or entry level job seekers who ...

SAP Data Lead

Akron, NY · On-site

$100K - $140K/yr

Reviewing old data to find errors, duplicates, or missing pieces before moving it. Talking with ... Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter ...

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Data Protection information

What is a data protection officer?

Data protection officers (DPOs) are professionals responsible for ensuring that an organization complies with data protection laws and regulations, such as the GDPR in Europe. Their duties typically include advising on data protection obligations, monitoring internal compliance, conducting data protection impact assessments, and serving as a point of contact for supervisory authorities and individuals whose data is processed. DPOs play a crucial role in safeguarding sensitive information and helping organizations build trust with customers and stakeholders by managing data responsibly.

How does a data protection professional typically collaborate with other departments to ensure compliance?

Data Protection professionals work closely with various departments such as IT, Legal, HR, and Operations to implement and monitor data privacy protocols. They often lead training sessions, advise on best practices, and help integrate data protection requirements into business processes. Regular communication and collaboration are essential, as they must ensure that all teams understand their responsibilities regarding sensitive data. This cross-functional teamwork helps maintain company-wide compliance and mitigates risks associated with data breaches.

Is data protection a stressful job?

Data protection roles can be stressful due to the responsibility of safeguarding sensitive information and ensuring compliance with regulations. The job often requires attention to detail, problem-solving skills, and sometimes working under tight deadlines or in high-pressure situations. However, workload and stress levels vary depending on the organization and specific role.

What is a data protection job?

A data protection job involves safeguarding sensitive information from unauthorized access, breaches, and cyber threats. Professionals in this field often work with security protocols, encryption tools, and compliance standards to ensure data privacy and integrity within organizations.

What are the key skills and qualifications needed to thrive in data protection, and why are they important?

To thrive in Data Protection, a strong understanding of data privacy laws, risk management, and information security—often supported by relevant degrees or certifications like CIPP or CISSP—is essential. Familiarity with data loss prevention (DLP) tools, encryption technologies, and compliance management systems is typically required. Excellent analytical thinking, attention to detail, and effective communication skills help professionals identify risks and educate stakeholders. These abilities ensure organizations maintain regulatory compliance, protect sensitive information, and build trust with clients and partners.

What is the difference between Data Protection vs Data Privacy Officer?

AspectData ProtectionData Privacy Officer
Primary FocusImplementing technical and organizational measures to secure dataEnsuring compliance with privacy laws and policies
CertificationsISO 27001, CISSP, CISMCIPP, CIPM, CIPT
Work EnvironmentIT departments, security teamsLegal, compliance, and policy teams
Industry UsageAcross sectors with data security needsPrimarily in organizations handling personal data

While both roles focus on data, Data Protection emphasizes securing data through technical measures, whereas Data Privacy Officers focus on legal compliance and policy adherence related to personal data. Understanding these distinctions helps organizations assign the right responsibilities and certifications for each role.

How to start a career in data protection?

To start a career in data protection, gain knowledge of cybersecurity principles, data privacy laws, and risk management. Obtain relevant certifications such as Certified Information Privacy Professional (CIPP) or CompTIA Security+ and develop skills in data security tools and practices. Entry-level roles often require a bachelor's degree in computer science, information technology, or related fields.
What are popular job titles related to Data Protection jobs in Buffalo, NY? For Data Protection jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Data Protection jobs in Buffalo, NY look for? The top searched job categories for Data Protection jobs in Buffalo, NY are:
Infographic showing various Data Protection job openings in Buffalo, NY as of August 2026, with employment types broken down into 40% Full Time, 40% Part Time, and 20% Contract. Highlights an 100% In-person job distribution.

Test Data Management Team Lead

M&T Bank

Buffalo, NY

$46 - $62.75/hr

Full-time

Posted 16 days ago


M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

79th of 170 rated banks


Job description

Overview

Responsible for leading the enterprise Test Data Management (TDM) and Quality Engineering Practice, including strategy, standards, governance, tooling, implementation frameworks, automation enablement, and operational excellence. Provides technical and people leadership for a team consisting of Lead Engineers, Senior Engineers, Engineers, and contract resources supporting enterprise testing, automation, and test data management capabilities.

Serves as the organizational leader for enterprise testing platforms, frameworks, automation standards, and test data services. Responsible for establishing and driving adoption of best practices, reusable patterns, engineering standards, and implementation methodologies utilizing technologies such as Delphix, SmartBear Zephyr, Playwright, Selenium, Cucumber, Postman, GitLab, and GitLab CI/CD.

Partners closely with Application Development, Architecture, DevOps, Infrastructure, Information Security, Risk, Compliance, Product, and Delivery teams to improve software quality, accelerate delivery, reduce testing costs, and ensure scalable, secure, compliant, and automated testing capabilities across the enterprise.

Completes work in accordance with enterprise technology, risk, security, and regulatory standards while fostering a culture of innovation, continuous improvement, engineering excellence, operational maturity, and quality ownership. This role combines strategic leadership, people management, technology oversight, and hands-on expertise to advance enterprise testing and Test Data Management capabilities. The structure and responsibilities are adapted from the existing TDM Lead Engineer role while expanding the scope to include people leadership and testing practice ownership

Primary Responsibilities

  • Lead and manage the enterprise Test Data Management and Quality Engineering Practice organization, providing both technical leadership and people management.
  • Develop and execute the strategic roadmap for enterprise testing capabilities, automation platforms, test data management services, and quality engineering practices.
  • Manage a team of Lead Engineers, Senior Engineers, Engineers, and contractor resources, including hiring, coaching, mentoring, career development, performance management, succession planning, and resource allocation.
  • Establish, maintain, and govern enterprise testing standards, implementation patterns, reusable frameworks, methodologies, and best practices.
  • Provide strategic and technical oversight for Test Data Management platforms, including Delphix virtualization, data masking, self-service provisioning, synthetic data strategies, and test data lifecycle management.

Define and maintain enterprise testing frameworks supporting:

  • Functional Testing
  • API Testing
  • Integration Testing
  • End-to-End Testing
  • Regression Testing
  • User Acceptance Testing Support
  • Performance Testing
  • Continuous Testing

Establish standardized automation approaches utilizing technologies such as:

  • SmartBear Zephyr
  • Selenium
  • Playwright
  • Cucumber
  • Postman
  • REST Assured
  • GitLab
  • GitLab CI/CD
  • Jira
  • Delphix
  • Enterprise observability and reporting platforms

Create enterprise standards and reference architectures for:

  • Test Automation
  • Test Data Management
  • Test Case Management
  • API Testing
  • CI/CD Testing Integration
  • Quality Gates
  • Environment Management
  • Test Data Masking
  • Test Execution Reporting

Drive the adoption of:

  • Shift-Left Testing
  • Continuous Testing
  • Behavior-Driven Development (BDD)
  • Automated Quality Gates
  • Test Automation
  • Self-Service Test Data Provisioning
  • Partner with Architecture and Engineering leaders to establish long-term quality engineering strategies and technology roadmaps.
  • Lead enterprise onboarding initiatives for new teams adopting testing platforms, frameworks, and TDM services.
  • Drive implementation of automated workflows integrating testing tools, Delphix services, GitLab CI/CD pipelines, application environments, and enterprise monitoring solutions.
  • Develop reusable testing accelerators, automation libraries, templates, and implementation patterns that improve consistency and reduce delivery effort.
  • Collaborate with application teams to understand testing and data requirements and translate business needs into scalable enterprise solutions.
  • Review and approve onboarding designs, testing solutions, framework implementations, and architecture recommendations to ensure alignment with enterprise architecture, security, compliance, and engineering standards.
  • Establish governance processes for testing tools, testing frameworks, automation standards, test data management, and quality reporting.
  • Partner with Engineering, Security, Risk, and Compliance teams to ensure testing and TDM solutions meet regulatory and information protection requirements.
  • Drive implementation of data masking, sensitive data protection controls, and compliant test data provisioning strategies.

Define and track key performance indicators, including:

  • Automation Coverage
  • Test Execution Efficiency
  • Defect Leakage
  • Defect Escape Rate
  • Test Data Provisioning Speed
  • Environment Utilization
  • Platform Availability
  • Quality Trends
  • Adoption Metrics
  • Testing Cycle Times
  • Team Productivity
  • Conduct maturity assessments and establish improvement plans for enterprise testing and quality engineering practices.
  • Lead platform evaluations and technology selection efforts for testing, automation, and Test Data Management solutions.
  • Evaluate emerging technologies, including AI-assisted testing capabilities, intelligent test generation, predictive quality analytics, and modern automation frameworks.
  • Provide oversight for vendor relationships, software licensing, consulting engagements, and managed service providers supporting testing and TDM functions.
  • Establish support models, operational procedures, runbooks, resiliency plans, and service-level objectives for enterprise platforms.
  • Present strategy, architecture, roadmap updates, investment recommendations, platform metrics, and maturity assessments to senior technology leadership and governance forums.
  • Facilitate communities of practice and knowledge-sharing initiatives to improve organizational testing maturity and engineering capabilities.
  • Develop and maintain enterprise documentation, implementation guides, standards, operational procedures, architectural patterns, and governance materials.
  • Understand and adhere to the Company's risk and regulatory standards, policies, and controls in accordance with the Company's Risk Appetite. Identify risk-related issues requiring escalation to management.
  • Promote an environment that supports a culture of belonging and reflects the Company brand.
  • Maintain internal control standards, including timely implementation of audit recommendations and regulatory requirements as applicable.
  • Complete other related duties as assigned.

Scope of Responsibilities

Supervisory / Managerial Responsibilities

Directly manages a team of Lead Engineers, Senior Engineers, Engineers, and contract resources.

Responsible for:

  • Performance Management
  • Career Development
  • Talent Planning
  • Workforce Planning
  • Hiring and Recruitment
  • Contractor Management
  • Vendor Management
  • Budget Planning
  • Succession Planning
  • Employee Engagement

Leads enterprise-wide testing, automation, and Test Data Management initiatives spanning multiple technology portfolios and business domains.

Acts as the primary organizational leader responsible for enterprise Quality Engineering Practice and Test Data Management strategy.

Provides leadership and influence across technology, architecture, development, infrastructure, security, and delivery organizations.

Education and Experience Required

  • A combined minimum of 9 years' higher education and/or work experience, including a minimum of 4 years' engineering and/or architecture experience and 3 years leadership experience
  • Minimum 5 years of experience in software testing, quality engineering, test automation, Test Data Management, or related engineering disciplines.
  • Minimum 3 years of direct people leadership experience managing technical teams.
  • Experience leading enterprise testing, automation, or quality engineering initiatives.
  • Experience managing enterprise testing tools, frameworks, and governance processes.
  • Experience implementing and supporting Test Data Management platforms and services.
  • Experience integrating testing capabilities into DevOps and CI/CD delivery pipelines.
  • Strong understanding of Agile delivery methodologies, software development lifecycle practices, and quality assurance principles.
  • Experience working with relational databases and enterprise application platforms.
  • Strong understanding of risk management, data privacy, information security, and compliance requirements.

Education and Experience Preferred

Experience leading a Testing Center of Excellence (TCoE), Quality Engineering Practice, or shared engineering services organization.

Hands-on experience with:

  • Delphix
  • SmartBear Zephyr
  • Selenium
  • Playwright
  • Cucumber
  • Postman
  • GitLab
  • GitLab CI/CD
  • Jira
  • REST Assured

Experience establishing enterprise testing standards, governance frameworks, and automation strategies.

Experience implementing quality engineering transformation programs.

Knowledge of API testing, service virtualization, performance testing, resilience testing, and non-functional testing practices.

Experience with cloud-native application testing in Azure, AWS, or hybrid cloud environments.

Experience implementing automated quality controls within GitLab CI/CD pipelines.

Experience evaluating and implementing AI-enabled testing solutions.

Strong leadership, mentoring, coaching, stakeholder management, and organizational influence skills.

Experience leading large-scale technology modernization and digital transformation initiatives.

Excellent analytical, problem-solving, organizational, and decision-making skills.

Strong written, verbal, presentation, and executive communication skills.

Financial services, banking, or other highly regulated industry experience preferred.

#LI-JB3

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $116,400.00 - $194,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBuffalo, New York, United States of America

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