Job Description

Senior ManagerEXL/SM/1384909


Healthcare AnalyticsNoida
Posted On
09 Sep 2025
End Date
24 Oct 2025
Required Experience
7 - 13 Years



Basic Section
Number Of Positions


1


Band


C2


Band Name


Senior Manager


Cost Code


8280102


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


2000000.0000 - 3000000.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


Analytics


Sub Group


Healthcare


Organization


Healthcare Analytics


LOB


Healthcare D&A


SBU


Healthcare Analytics


Country


India


City


Noida


Center


Noida-SEZ BPO Solutions




Skills
Skill


ARTIFICIAL INTELLIGENCE


MACHINE LEARNING


PROMPT


Minimum Qualification


MCA


BTECH


MASTER OF TECHNOLOGY(MTECH)


Certification


No data available

Roles and Responsibilities:

Lead end-to-end delivery of GenAI projects from initiation through deployment. Translate technical requirements into project plans, timelines, and deliverables. Collaborate with AI/ML teams to scope model development, data collection, training, and evaluation phases. Identify project risks, develop mitigation plans, and ensure adherence to best practices in AI ethics and governance. Act as a liaison between technical teams and non-technical stakeholders, ensuring alignment and clarity on project goals. Drive Agile or hybrid methodologies, including sprint planning, backlog grooming, and daily stand-ups. Monitor project KPIs and success metrics related to model performance, usability, and business impact. Manage external vendors or partners contributing to AI initiatives.

Qualifications:

Bachelor's degree in Computer Science, Engineering, AI, or related field (Master's preferred). 5+ years of experience in project management, with at least 1-2 years in AI/ML or data science-related environments. Strong understanding of Generative AI concepts (e.g., LLMs like GPT, DALLE, diffusion models, fine-tuning, prompt engineering). Familiarity with AI lifecycle tools and platforms (e.g., Hugging Face, LangChain, MLflow, Vertex AI, etc.). Proven track record in delivering complex, multi-disciplinary projects on time and within scope.
Workflow
Workflow Type


L&S-DA-Consulting