Senior Data Management Professional

Accountabilities:

• Develop, maintain, and improve data management processes and technical solutions using Python, SQL, Databricks notebooks, Azure DevOps pipelines, Power BI dashboards, and process automation.
• Analyze complex data challenges and critically assess situations to identify data quality issues, process limitations, and improvement opportunities.
• Conduct detailed research and analysis using data sources, dashboards, and other available resources to identify trends, inconsistencies, and operational gaps.
• Support internal and external partners by investigating data issues, conducting root cause analysis, and recommending practical and sustainable resolutions.
• Design and implement improvements to data processes, workflows, reporting solutions, and data quality practices.
• Develop clear and actionable dashboards and reporting solutions that enable stakeholders to understand performance and make informed decisions.
• Apply statistical and analytical techniques, including machine learning methods where appropriate, to identify patterns and support data-driven decision-making.
• Present complex analytical findings and recommendations clearly to technical and non-technical stakeholders.
• Manage multiple priorities, projects, and deadlines independently while maintaining a high level of accuracy and attention to detail.
• Collaborate with cross-functional teams and stakeholders to understand data needs and ensure solutions address business requirements.
• Identify opportunities for automation, innovation, and continuous improvement across data management practices.
• Support data integrity and compliance initiatives within a healthcare data environment.

Requirements:

• Bachelor's degree in a technical field such as Computer Science, Data Science, Information Technology, Statistics, Engineering, or a related discipline.
• At least 5 years of professional experience using Python for data analysis, data quality, analytics, or related data management activities.
• At least 2 years of experience applying statistics and machine learning techniques to practical data problems.
• At least 2 years of experience building dashboards and reporting solutions, preferably using Power BI or similar business intelligence platforms.
• Strong SQL and data analysis capabilities, with the ability to work with complex datasets and identify quality or process issues.
• Experience developing data solutions, scripts, queries, automations, and analytical workflows.
• Strong problem-solving and root-cause analysis skills, with the ability to turn complex data challenges into actionable recommendations.
• Excellent communication skills and the ability to present technical findings clearly to internal and external stakeholders.
• Strong organizational skills, attention to detail, and ability to manage multiple priorities independently.
• Collaborative mindset with a demonstrated interest in process improvement and data innovation.
• Experience in the healthcare industry is preferred.
• A Master's degree in a technical field is preferred.
• Experience with Git or other version control platforms is an advantage.
• Must be legally authorized to work in the United States; work visa sponsorship is not available for this position.
• For remote work, candidates must maintain a dedicated workspace that protects confidential healthcare information and have reliable internet connectivity meeting the required minimum of 25 Mbps download and 10 Mbps upload.
• Occasional travel for training or meetings may be required despite the remote work model.

Benefits:

• Annual base salary of $78,400–$107,800, depending on geographic location, qualifications, experience, education, certifications, and other job-related factors.
• Eligibility for a performance-based bonus incentive plan.
• Remote work opportunity available nationwide in the United States.
• Comprehensive medical, dental, and vision coverage.
• 401(k) retirement savings plan.
• Paid time off, company holidays, and personal holidays.
• Paid parental and caregiver leave.
• Short-term and long-term disability coverage.
• Life insurance and additional employee benefits supporting overall well-being.
• Opportunity to work with modern data technologies including Python, SQL, Databricks, Azure DevOps, Power BI, and machine learning.
• Meaningful opportunity to improve data quality, compliance, and operational effectiveness within the healthcare sector.
• Collaborative environment focused on professional development, innovation, and data-driven decision-making.
• 40-hour work week with a remote-first working arrangement.