Senior Solution Delivery IT Manager

Job Summary
As a critical leader within our Technology organization, the Quality Assurance Manager will be instrumental in ensuring the delivery of exceptional products and services to our customers. This role demands a passion for quality, a deep understanding of software development lifecycles, and experience in establishing robust QA processes for software, data, and AI models, all within a DevOps environment.

location: Holland, Michigan

job type: Permanent

salary: $130, ,000 per year

work hours: 8am to 5pm

education: Bachelors

Responsibilities

• Software QA: Developing and implementing comprehensive test strategies for functional, regression, performance, and security testing within CI/CD pipelines.
• Data Quality: Establishing and enforcing data quality standards, designing validation processes, and leading root cause analysis with DevOps teams.
• AI Model Quality: Defining testing strategies for AI models, focusing on accuracy, bias, and fairness, and integrating these tests into model deployment pipelines.
• Leadership: Building and mentoring high-performing QA teams and driving continuous improvement initiatives by leveraging automation and DevOps principles.

Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field.

• 8+ years of experience in Quality Assurance, with at least 3+ years in a leadership role, ideally within a DevOps environment.
• Proven experience in building and managing QA teams, ideally in a fast-paced, agile environment, with a strong understanding of DevOps principles and practices.
• Strong understanding of software development methodologies (Agile, DevOps) and experience with CI/CD practices, including experience with implementing and managing automated testing within CI/CD pipelines.
• Experience with test automation tools and frameworks, as well as performance and security testing tools, with a focus on tools that integrate well with DevOps workflows.
• Experience with data quality management, data governance, and data validation techniques, ideally in a DevOps environment.
• Familiarity with AI/ML concepts, model evaluation metrics, and bias detection methodologies, with experience in integrating AI model testing into DevOps pipelines.
• Excellent communication, interpersonal, and stakeholder management skills, with the ability to effectively collaborate with technical and non-technical stakeholders within a DevOps culture.

Skills
Agile Methodology,Artificial Intelligence,Automation of Tests,Communication Skills,Continuous Integration,Data Validation,Data Governance,Data Quality,DevOps,Leadership,Quality Management,Security Testing,Software Engineering,Stakeholder Management,Workflows,Testing Skills,Metrics,Information Technology

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.