Senior Manager Engineering

Overview

We are a Healthcare Data Analytics company looking for the Sr Manger of Engineering. In this role you will lead, direct, and manage the day-to-day operations of a software engineers and TPO’s. You will work closely with the enterprise data management teams, IT, engineering, Client Services teams, and Clinical operations teams. You will manage all the operational aspects of the software development to ensure business and project objectives are met and delivered on time. You will provide administrative, technical, and people leadership for multiple, diverse, and geographically distributed teams. You are responsible for providing feedback to the team and individuals on their performance.

Responsibilities

• Hire, develop, coach, lead and retain top-tier talent, with a focus on building and improving a team and culture that is able to assist in employing best in class practices to support and drive high levels of internal and external customer satisfaction.
• Complete all responsibilities as outlined on annual Performance Plan as well as special projects and other duties as assigned.
• Ensure NCQA certification measures are certified annually on time and deliver supporting functionalities completed on time and according to our quality standards.
• Ensure engineers follow the defined Cotiviti SDLC standards
• Coordinate with IT, DBA to get the daily requests of your team members fulfilled.
• Participate in root cause analysis for the issues encountered and make sure that permanent fix is applied.
• Continuously look for process improvement and optimization opportunities keeping the big picture in mind that can help reduce delivery time and operational cost for the organization.
• Participate in requirement collection, architectural discussions and collaborate with team members to maintain consistency across the Quality Products.
• Collaborate with internal teams to find areas of opportunities for automation and quality improvement
• Provide regular update to management and peers about the ongoing project and enhancements.
• Proven leadership skills, demonstrated ability to mentor, influence and partner with enterprise data operations teams, and engineering to deliver scalable and robust data solutions

Qualifications

• Bachelor’s degree in computer science, information technology, or equivalent.
• 8+ years of hands-on experience in software development
• Minimum of 4+ years of management experience with increasing level of responsibility and oversight.
• Experience estimating and planning software development projects including risk management and integration plans.
• Experience working in an agile environment.
• Demonstrated experience with managing offshore development team
• Demonstrated ability to handle multiple assignments and tasks simultaneously
• Extremely motivated, results oriented individual that is very self-directed and comfortable thinking and reacting quickly
• Excellent written and verbal communication skills, and ability to influence at all levels

Mental Requirements:

• Critical Thinking: Ability to think critically and evaluate information objectively, considering different perspectives and potential implications before drawing conclusions or making recommendations.
• Attention to Detail: must have a keen eye for detail to ensure accuracy in data analysis, interpretation, and reporting.
• Quantitative Aptitude: Strong numerical skills are essential for conducting quantitative analysis, working with statistical methods and models, and manipulating data using mathematical operations.
• Data Interpretation: skilled in interpreting data visualizations, charts, graphs, and other forms of data presentation to extract meaningful insights and communicate findings effectively.
• Communication Skills: Effective communication skills are crucial for conveying complex technical concepts and insights to non-technical stakeholders clearly and understandably through written reports, presentations, and verbal discussions.
• Curiosity and Learning Agility: A strong desire to learn and explore new methodologies, techniques, and tools in the field of data analysis and insights generation is essential for staying current with industry trends and best practices.
• Resilience: The ability to handle pressure, adapt to changing priorities, and overcome setbacks is important in a fast-paced and sometimes ambiguous analytical environment.
• Ethical and Integrity: Upholding ethical standards and maintaining integrity in handling sensitive data and information is paramount for building trust and cred