Sr. Group Manager

Sr. Group Manager of Emerging Technologies and Analytics

Summary

Acentra Health is seeking an ideal candidate to fill the position of Sr. Group Manager of Emerging Technologies and Analytics. This is an exciting and challenging role that requires a strong background in data analytics, statistics, and engineering. The ideal candidate will possess real-world experience working with AI, LLMs, and ML, and be able to innovate using these technologies to shape the future of the organization.

As the Leader of Emerging Technologies and Analytics, the candidate will help to establish enterprise-level AI and ML programs and initiatives that will support the company's ambitious growth and expansion goals. A successful candidate will have a track record of developing and implementing machine learning models in real-world applications, managing teams of machine learning engineers, business intelligence analysts, and data scientists. This position offers significant opportunities for growth, career development, and professional advancement, along with competitive compensation and benefits. Join our team at Acentra Health to help shape the future of healthcare technology.

Accountabilities

• Collaborate with stakeholders to develop and implement innovative solutions, utilizing emerging technology such as AI/ML and automation to create value and support business goals.
• Develop and execute a comprehensive AI/ML, analytics, and BI strategy that aligns with the organization's overall goals and objectives.
• Oversee the research, development, and deployment of AI/ML models to solve business problems and enhance product offerings.
• Work with cross-functional teams to integrate AI/ML solutions into products and services, evaluate generative AI algorithms, and extract knowledge and content from unstructured data using multi-modal generative AI methods.
• Lead the design and implementation of enterprise-level solutions using cloud-native platforms.
• Drive the development and implementation of advanced analytics methodologies, techniques, and tools, extracting actionable insights from complex data sets to support decision-making.
• Develop and enhance BI solutions, dashboards, and reports to provide timely and accurate information to key stakeholders.
• Collaborate with executives and cross-functional teams to understand their data needs and align data and analytics initiatives with their strategic priorities.
• Provide strong leadership to the technology and analytics team, driving operational excellence through process improvement, effective design, and performance measurement.
• Stay abreast of the latest developments in the industry and recommend tools, platforms, and methodologies to enhance the organization's data capabilities and competitive advantage.
• Manage and mentor a high-performing team, ensuring their professional growth and development, and oversee hiring, onboarding, and ongoing performance management.
• Establish a collaborative and innovative work environment, adhering to relevant data privacy laws and industry regulations.
  
  

Qualifications

• 10+ years of technology leadership experience, with a strong focus on emerging technologies and business analytics and advanced knowledge of application development, data solutions, system integration development, and system implementation processes.
• Bachelor's or advanced degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, or Engineering (master’s or Ph.D. preferred)
• Strong programming skills in Python
• Experience with cloud-based infrastructure, AI and ML platforms such as AWS, Azure or Google Cloud
• Experience leading strategic business planning for AI/ML, data science, and analytics function in a large, globally matrixed business organization.
• Strong hands-on AI/ML modeling experience of complex datasets combined with a theoretical understanding of AI/ML.
• Experience with natural language processing techniques and best practices.
• Proven record of developing and implementing machine learning models in real-world applications and managing teams of machine learning engineers, BI analysts, and data scientists.
• Experience leading teams with strong collaboration, remarkable culture, and positive working environments.
• Experience managing enterprise data and analytics capabilities, including data management, reporting, business intelligence, and advanced analytics solutions.
• Experience in data management, data governance, and data architecture principles, with practical experience in implementing scalable data solutions.
• Demonstrated use of innovation in IT to support business needs with strategically measurable contributions to business results.
• Exceptional problem-solving skills with the ability to think analytically, break down complex issues, and develop practical solutions.
• Strong project management and organizational skills, with the ability to prioritize and manage multiple initiatives simultaneously, including experience with Agile methodologies at the enterprise scale.
• Strong strategic mindset aligned with analytics initiatives with overall business goals, proactively involving opportunities for driving business value using data.
• Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.