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Quality Assurance Manager; remote
Remote / Online - Candidates ideally in
Tiffin, Seneca County, Ohio, 43579, USA
Listed on 2026-05-20
Tiffin, Seneca County, Ohio, 43579, USA
Listing for:
Concordance Healthcare Solutions LLC
Remote/Work from Home
position Listed on 2026-05-20
Job specializations:
-
Quality Assurance - QA/QC
QA Specialist / Manager, IT QA Tester / Automation
Job Description & How to Apply Below
Position Overview
We are seeking a full‑time Quality Assurance Manager in any Surgence location or fully remote. The Quality Assurance Manager acts as a hands‑on quality leader and people manager responsible for establishing and developing the organization's Quality Assurance function from the ground up. This role provides ownership of QA strategy, team development, testing tools, and quality processes, embedding best practices throughout the Product Delivery Lifecycle (PDLC).
EssentialFunctions
- Lead and execute the end‑to‑end Quality Assurance strategy aligned to the Product Delivery Lifecycle (PDLC), embedding quality from discovery through release and operations, including AI‑assisted delivery workflows.
- Define and enforce release‑readiness standards covering functional and non‑functional quality, data accuracy, security, compliance, and operational stability.
- Establish and execute risk‑based test strategies (manual and automated), including exploratory testing, regression coverage, and validation of complex, multi‑tenant B2B SaaS platforms.
- Own data quality assurance practices, including validation of data integrity, lineage, analytics outputs, and governed metrics across ingestion, transformation, and application layers.
- Embed security and compliance validation into QA practices, including access controls, secure data handling, and environment safety checks.
- Select, implement, and optimize QA tools, frameworks, and CI/CD‑integrated testing approaches that balance speed with release confidence.
- Define validation and monitoring strategies for AI/ML‑enabled features, including accuracy, bias, edge‑case testing, and regression or drift detection where applicable.
- Provide clear visibility into quality posture through defect trends, release readiness assessments, and documented risk, escalating issues that could impact customers or commitments.
- Provide visible, hands‑on leadership for complex, high‑risk, or first‑of‑kind initiatives, modelling sound judgment, technical credibility, and calm decision‑making in regulated, highly integrated, or ambiguous environments.
- Operate as a trusted partner to Product, Engineering, Delivery, Data, and Security leadership, fostering early alignment, surfacing cross‑functional risks, and resolving issues through collaboration rather than downstream escalation.
- Build and sustain a high‑performing Quality Assurance organization through thoughtful hiring, intentional onboarding, coaching, mentoring, and performance management.
- Define and evolve QA roles, responsibilities, career paths, and growth expectations that scale with platform complexity and organizational maturity.
- Champion a culture of shared accountability for quality, influencing teams to own outcomes while keeping QA lightweight, pragmatic, and enablement‑focused.
- Establish organizational guardrails for responsible AI usage across QA and Engineering, reinforcing expectations around data privacy, auditability, transparency of AI‑generated artifacts, and appropriate human oversight.
- Serve as a risk and readiness advisor to senior leadership, clearly framing trade‑offs, recommending release decisions, and grounding discussions in evidence rather than process.
- Escalate material risks with clarity and proportionality, ensuring potential impacts to customer trust, regulatory obligations, or business commitments are understood early.
- Influence priorities, timelines, and commitments through credible risk assessment, clear communication, and principled decision‑making – balancing speed with long‑term quality and trust.
- A bachelor's degree in Business, Healthcare Administration, Quality Engineering, or a related field is required, or an equivalent combination of education and experience.
- The ideal candidate brings 10+ years of experience in Quality Assurance and/or Quality Engineering, including at least 5 years in a people‑leadership role, with demonstrated success building, scaling, and maturing QA functions, teams, and operating practices.
- Experience in B2B SaaS quality assurance, with multitenant platforms, configurable customer environments, system integrations, and…
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