Position Summary
The Data Services Data Quality Assurance (DQA) ITS Validation Leader is responsible for managing the ITS Count Validation project, ensuring timely and high-quality delivery of outputs. This includes resolving production issues, completing validations, and providing performance evaluations to guide customer updates and targeted development efforts. The role also encompasses ownership of the validation process, project updates, risk management, and contribution to broader Data Services improvement activities.
Key Accountabilities
ITS Counts Validation
- Monitor validation requests and manage video processing (download, merge, crop, and upload).
- Configure study locations to align with MioOne configurations.
- Conduct verification, QA checks, and resolve data issues.
- Compile and analyze reports, explaining findings to stakeholders.
ITS Validations Team Ownership
- Manage production risks and communicate priorities, risks, and resource needs at daily stand-ups.
- Develop weekly plans with leadership and execute daily strategies.
- Address escalations and organize team resources to meet targets.
- Prepare and lead team workshops, delegating tasks and balancing workload.
Process Management and Improvement
- Update documentation and communicate workflow changes.
- Recommend and implement process improvements, including cost and quality enhancements.
- Collaborate with engineering teams on improvement initiatives and software testing.
- Attend product meetings and contribute to software development processes.
Metrics and Training
- Track and report on project metrics and improvement initiatives.
- Support demand planning, training program development, and process implementation.
- Assist with setting up new ITS Validation processes and procedures.
Additional Responsibilities
- Resolve escalations, collaborate with internal teams, and ensure customer-specific requirements are met.
- Maintain ownership of team productivity, quality, and ongoing team development.
Skills/Qualifications
Key Skills & Knowledge
- Strong prioritization and resource management skills.
- Proficiency in computer vision capabilities and their application in products.
- Excellent communication, problem-solving, and attention to detail.
- Leadership skills to mentor, motivate, and inspire team members.
- Process-driven with the ability to identify and articulate issues to generate solutions.
Education and Experience
- High school diploma or equivalent; post-secondary education is an asset.
- Experience in leading teams within a production environment.
- Familiarity with software testing and dataset comparison.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please indicate if you require accommodation on your application, and our team will work with you to meet your accessibility needs.
PLEASE BE AWARE OF FRAUD: Applicants interested in applying for roles at Miovision should apply directly via the details provided on our careers page. We communicate directly with applicants and will not request banking information, payment, or fees during any point of the recruitment process. We do not conduct interviews via text message. If you suspect that a third party is impersonating Miovision or requesting payment for recruitment on behalf of Miovision, please alert us via recruitment@miovision.com.
To all recruitment agencies: Miovision does not accept agency solicitation or resumes. Please do not forward resumes to our HR alias e-mail address, to any Miovision employee, or to other Miovision e-mail addresses. Miovision will not pay any fees related to unsolicited resumes.
