Manager, Solution Delivery
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
The Manager Solution Delivery will lead and scale the execution of our data and analytics product deliveries in a rapidly growing business. The role will be critical in ensuring quality efficiency and standardization working across internal teams and with external partners to enhance delivery performance drive process improvements and establish key operational metrics.
Scaling product delivery for multiple products across multiple lines of business lines in HAS is a critical success factor driving customer satisfaction and revenue growth. The role will build repeatable efficient and scalable processes to support business expansion while maintaining high-quality timely deliveries.
Responsibilities
Product Delivery
Oversee the end-to-end management of data product delivery including SOW-based and roster-based data transfers ensuring timely and successful execution.
Act as the first point of contact for delivery issues performing initial triage by reviewing data checking logs and running basic diagnostic queries to identify the potential source of an error (e.g. data quality configuration system failure).
Serve as the primary liaison between business development technology teams customer success and clients to manage requirements provide estimates and support solution testing.
Translate technical findings and root cause analyses into clear concise business-level summaries for communication with non-technical stakeholders and leadership.
Quality Compliance & Continuous Improvement
Track customer-reported issues from initial report through to final resolution ensuring a high level of customer satisfaction.
Develop and report on key quality and performance metrics to identify trends and areas for improvement.
Ensure all delivery processes and data handling procedures strictly adhere to HIPAA standards and all relevant data privacy regulations.
Proactively identify opportunities to enhance operational workflows and quality control checkpoints.
Scaling & Process Optimization
Design implement and document scalable operational processes and standardized workflows to support current and future business growth.
Develop and maintain a strategic roadmap for scaling delivery operations to meet future demand and complexity.
Continuously evaluate and optimize existing processes to improve efficiency reduce manual effort and increase the reliability of data delivery.
Qualifications
Required Work Experience
3 years of experience in product delivery data operations or healthcare data management preferably in a high growth environment
Preferred Work Experience
3 years of experience scaling data operations implementing process improvements and optimizing product delivery workflows
Physical and Mental Requirements
Strong problem-solving abilities
Technical and Analytical Skills
Demonstrated ability in project management cross-functional collaboration and executive communication.
Basic SQL proficiency with the ability to write queries to verify data counts check for nulls and isolate records for investigation.
Solid understanding of data pipeline concepts (ETL/ELT) to help identify failure points in data extraction transformation or loading stages.
Experience with basic log file analysis to find error messages and trace transaction IDs.
Familiarity with API fundamentals (e.g. ability to check endpoint status or error codes).
Skills
Strong problem-solving abilities
Ability to analyze performance metrics and develop improvement plans
Project Management
Communication and organizational skills
Cross functional collaboration
Education
Bachelors degree in business Operations Computer Science or a related discipline preferred.
Required Experience:
Manager
Key Skills
About Company
Quest Diagnostics (NYSE: DGX) empowers people to take action to improve health outcomes. Derived from the world's largest database of clinical lab results, our diagnostic insights reveal new avenues to identify and treat disease, inspire healthy behaviors and improve health care mana ... View more
