Director of Analytics

Job Title: Director Analytics

Experience: 14+ Years

Job Location: Remote, India

Company Overview

:
As Ensemble Health Partners Company, we're at the forefront of innovation, leveraging cutting-edge technology to drive meaningful impact in the Revenue Cycle Management landscape. Our future-forward technology combines tightly integrated data ingestion, workflow automation and business intelligence solutions on a modern cloud architecture. We have the second-largest share in the RCM space in the US Market with 10000+ professionals working in the organization. With 10 Technology Patents in our name, we believe the best results come from a combination of skilled and experienced team, proven and repeatable processes, and modern and flexible technologies. 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 differenc

e.
Position Overvi

ew:The AI solutions architect is responsible for building AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. The successful candidate will work closely with business owners to understand their data requirements and product specification in order 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 development 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 skil

ls.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 cas

e

s. Roles & Responsibilit

i

• es Design, develop, and oversee the implementation of end-to-end AI solutions, including LLM-based and general machine learning use cas
• es.Define AI solution objectives and ensure alignment with business outco
• mesDevelop and ensure Interoperability between client systems, internal teams and other third-party vendo
• rs.Educate team members and bring both technical staff and business stakeholders up to speed with recent AI tren
• ds.Present key findings, recommend enhancements, and work with business owners to enhance product developme
• nt.Evaluate predictive models as well as LLM-based technologies at sca
• le.Act as primary respondent to questions regarding AI and Machine Learning applicatio
• ns.Build, enhance and maintain the data models, interfaces and application integration required to support growing and changing business nee
• ds.Collaborate with internal and external clients to respond to growing needs of the business, troubleshoot issues, and expand capabilities of the produ
• ct.Meaningfully contribute to the strategic direction of AI initiatives within the comp

anyRequired Ski

l

• ls Overall 15+ Years out of which 5+ years' experience leading a data science/machine learning team with clear deployment experien
• ce.PhD or MSc in Computer Science/Machine Learning/AI, or related work experience with the design, building and evaluation of Machine Learning syste
• ms.10+ years’ experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalen
• ts.Proven ability to research and execute solutions based on novel algorithms and machine learning tooli
• ng.Ability to design, implement, test and deploy Machine Learning mode
• ls.Experience working with and evaluating LLM-based pipeline, with an emphasis on retrieval augmented generation and prompting techniques is a pl
• us.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 pl
• us.Proficiency in accessing and handling databases via SQL, Azure Data Factory or simil
• ar.Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or us
• ed.Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Revie
• ws.Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability too
• ls.Proven ability to read research papers, critique and execute based on th
• em.Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessa
• ry.Ability to work both independently and in a team-based, fast-paced environme
• nt.Excellent communication skills, both written and verb

al.Why Join U

S

• ? 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 na
• me.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 Manageme
• nt.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 associat
• es.We have flexible/ remote working/ working from home opti

onsPe

r

• ks Health Benefits and Insurance Coverage for family and parents. Accidental Insurance for the associa
• te.Compliant with all Labor Laws- Maternity benefits, Paternity Leav
• es.Company Swags- Welcome Packages, Work Anniversary K
• itsExclusive Referral Pol
• icyProfessional Development Program and Reimbursemen
• ts.Remote work – flexibility to work from ho