Senior Manager

7 years

5 - 10 Lacs

Posted:6 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Senior Manager

EXL/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

Job Description

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, DALL·E, 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

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