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Sr Mgr Data Sciences

12-17 years
₹80 LPA – ₹1.1 Cr
10 July 9, 2025
Job Description
Job Type: Full Time Education: B.Sc/ M.Sc/ B.Tech/ M.Tech Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Senior Manager – Data Sciences
Location: Hyderabad, India
Job Type: Full-time, On-site

Company Overview:
Amgen is a global biotechnology pioneer that leverages science and technology to address some of the world’s most challenging health problems. With a focus on human genetics, AI, and biologics, Amgen develops life-changing therapies and pushes the boundaries of innovation to serve millions worldwide.

Role Overview:
As a Senior Manager in Data Sciences, you will play a strategic and hands-on leadership role in building and managing advanced AI and ML platforms. You will oversee a team of data scientists and machine learning engineers to deliver scalable, compliant, and business-impacting analytics and AI solutions across research, clinical, manufacturing, and commercial domains.

Key Responsibilities:

  • Develop and drive a multi-year data science strategy aligned with business objectives, including quarterly OKRs.

  • Lead and mentor a high-performing team of data scientists and ML engineers.

  • Oversee end-to-end ML/AI project delivery—from problem scoping to model deployment and monitoring.

  • Balance and prioritize initiatives based on ROI, risk, and resourcing, across cross-functional domains.

  • Guide algorithm selection, experimentation, and implementation using robust, reproducible methodologies.

  • Enforce best practices in coding, version control, MLOps, model governance, and responsible AI.

  • Collaborate with stakeholders across Data Engineering, DevOps, Security, and Product to embed models in production systems.

  • Manage analytics environments (cloud/on-prem), negotiate vendor contracts, and optimize performance and cost.

  • Communicate insights and AI value to executive leadership with clarity and impact.

  • Stay current with AI trends, regulatory changes, and emerging tools; lead innovation pilots to maintain technological leadership.

Required Skills & Qualifications:

  • 10+ years in advanced analytics/data science, with 4+ years leading data science or ML teams.

  • Deep expertise in ML algorithms including regression, classification, clustering, time-series forecasting, deep learning (CNNs, transformers), and causal inference.

  • Strong coding skills in Python and SQL; hands-on with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML).

  • Strategic influence with experience delivering business impact and communicating with VP/SVP-level leaders.

  • Practical experience in cloud platforms (AWS, GCP, Azure) including performance tuning and cost management.

  • Sound knowledge of responsible AI practices, privacy, and compliance frameworks (e.g., GDPR, HIPAA, GxP, EU AI Act).

Preferred Qualifications:

  • Experience in pharma or biotechnology industries.

  • Conference speaker or published author in AI/GenAI.

  • Master’s degree in Data Science, Computer Science, or related technical field.

  • Familiarity with Agile or Scaled Agile Framework (SAFe).

  • GenAI/ML certifications (AWS AI, Azure AI, Google Cloud ML, etc.).

Soft Skills:

  • Excellent analytical and troubleshooting skills.

  • Effective communicator with strong presentation skills.

  • Team-oriented and collaborative in global, virtual environments.

  • High initiative, detail-oriented, and self-driven.

  • Ability to manage multiple complex priorities effectively.

Estimated Salary: ₹80 LPA – ₹1.1 Cr (based on Hyderabad market standards and seniority level)