Director Analytics

Job Title: Director, Analytics

Experience: 10+ Yrs

Job Location: Remote, India

Company Overview:

At Ensemble Health Partners, we're at the forefront of innovation, leveraging cutting-edge technology to drive meaningful impact in the Revenue Cycle Management landscape. Our commitment to excellence is unwavering, and we're seeking a seasoned Principal Azure Cloud Architect to join our dynamic team. As a leading player in the industry, we offer an environment that fosters growth, creativity, and collaboration, where your expertise will be valued and your contributions will make a difference.

Position Overview:

The AI solutions architect is responsible for building AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modeling. The successful candidate will work closely with business owners to understand their data requirements and product specifications to help them make data-related decisions and product design choices. The role will also require close work with data scientists, software engineers and developers to deliver solutions. Another crucial part will be defining the strategic priorities for AI and GenAI development across the company and educating both technical and business teams about the latest developments in AI. The job role may also require you to learn new tools and technologies fast, which will be well supported by in-depth ML/AI knowledge as well as basic programming and scripting skills.

You should have expertise in the design, development, management, and maintenance of systems and handling of large datasets. You should have hands-on experience with common machine learning and AI frameworks, and a good knowledge of AI and machine learning fundamentals (deep learning, regression, classification and clustering algorithms), retrieval augmented generation pipelines, as well as a good grasp of the design and evaluation of LLM-supported use cases.

Roles & Responsibilities

• Design, develop, and oversee the implementation of end-to-end AI solutions, including LLM-based and general machine learning use cases.
• Define AI solution objectives and ensure alignment with business outcomes
• Develop and ensure Interoperability between client systems, internal teams and other third-party vendors.
• Educate team members and bring both technical staff and business stakeholders up to speed with recent AI trends.
• Present key findings, recommend enhancements, and work with business owners to enhance product development.
• Evaluate predictive models as well as LLM-based technologies at scale.
• Act as primary respondent to questions regarding AI and Machine Learning applications.
• Build, enhance and maintain the data models, interfaces and application integration required to support growing and changing business needs.
• Collaborate with internal and external clients to respond to growing needs of the business, troubleshoot issues, and expand capabilities of the product.
• Meaningfully contribute to the strategic direction of AI initiatives within the company

Required Skills

• Overall 12+ Years out of which 5+ years' experience leading a data science/machine learning team with clear deployment experience.
• PhD or MSc in Computer Science/Machine Learning/AI, or related work experience with the design, building and evaluation of Machine Learning systems.
• 5+ years experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents.
• Proven ability to research and execute solutions based on novel algorithms and machine learning tooling.
• Ability to design, implement, test and deploy Machine Learning models.
• Experience working with and evaluating LLM-based pipeline, with an emphasis on retrieval augmented generation and prompting techniques is a plus.
• Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus.
• Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar.
• Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used.
• Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews.
• Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools.
• Proven ability to read research papers, critique and execute based on them.
• Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary.
• Ability to work both independently and in a team-based, fast-paced environment.
• Excellent communication skills, both written and verbal.

Why Join US?

• We adapt emerging technologies to practical uses to deliver concrete solutions that bring maximum impact to providers bottom line. We currently have 10 Technology Patents in our name.
• We offer you a great organization to work for, where you will get to do best work of your career and grow with the team that is shaping the future of Revenue Cycle Management.
• We have our strong focus on Learning and development. We have the best Industry standard professional development policies to support the learning goals of our associates.
• We have flexible/ remote working/ working from home options

Perks

• Health Benefits and Insurance Coverage for family and parents. Accidental Insurance for the associate.
• Compliant with all Labor Laws- Maternity benefits, Paternity Leaves.
• Company Swags- Welcome Packages, Work Anniversary Kits
• Exclusive Referral Policy
• Professional Development Program and Reimbursements.
• Remote work flexibility to work from home.

Join Our Team:

If you're passionate about cloud technology and eager to make a meaningful impact in a dynamic and collaborative environment, we want to hear from you! Join us at Ensemble Health Partners and be part of a team that's shaping the future of Revenue Cycle Management. Apply now and embark on a rewarding journey of innovation and growth.