Hiring For Data and Analytics Manager

Hiring for Data and Analytics Manager

Location:

growing, dynamic ~50-person AI, Data, Integration, and Analytics team

Role Summary

Data and Analytics Manager

Key Responsibilities

• Project and Delivery Management

• Lead the development of data pipelines, integrations, and analytics assets in alignment with Amneal’s global data and development standards.
• Manage sprint planning, prioritization, and execution across internal and vendor teams.
• Track deliverables, review work outputs, and enforce adherence to SDLC, testing, and documentation standards.

• Data Platform Operations and Governance

• Oversee ingestion, transformation, and availability of enterprise data across platforms including AWS S3, Redshift, Redshift Spectrum, Glue, Databricks, and Boomi.
• Ensure data quality, lineage, cataloging, and metadata standards are consistently applied.
• Support audit and compliance requirements through process documentation and controls.

• Collaboration and Stakeholder Engagement

• Partner with business stakeholders, enterprise architects, and application teams to understand data requirements and translate them into scalable solutions.
• Work with global teams across U.S., Ireland, and India to ensure seamless data integration and delivery across time zones.
• Communicate proactively on risks, delays, or design trade-offs to leadership.

• People and Vendor Leadership

• Lead a blended team of internal developers, analysts, and third-party vendors.
• Set clear expectations, review code, mentor junior talent, and drive continuous improvement in agile delivery.
• Ensure vendors deliver to SLAs and in compliance with Amneal’s security and architecture standards.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.

• 10+ years of total experience

  , with at least

  5 years in a team or project management role

  in Data & Analytics.
• Proven experience working in or supporting

  a U.S. or Europe-headquartered publicly listed company

  , preferably in a regulated industry (e.g., pharmaceuticals, healthcare, finance, etc.).
• Strong hands-on experience with at least

  four

  of the following platforms:

• Integration Tools:

  Boomi, IBM DataStage, Liaison EDI

• Cloud/Data Engineering:

  AWS (S3, Glue, Redshift, Redshift Spectrum), Databricks

• MDM & Automation:

  Reltio, IBM Workload Automation.

Preferred Attributes

• Deep understanding of

  data lifecycle management

  , security, compliance (e.g., SOX, GxP), and metadata cataloging.
• Experience with

  data mesh principles

  , agile data delivery, and modern DevOps for data platforms.
• Excellent verbal and written communication skills; ability to engage with global stakeholders and explain technical concepts in business terms.
• High sense of ownership, accountability, and attention to detail.
• Passion for operational excellence, simplification, and measurable impact.

About Amneal Pharmaceuticals

Amneal is a $2.8 billion publicly traded U.S.-based pharmaceutical company with global operations. Our purpose is to make healthy possible through high-quality, affordable medicines. Our Global AI and Data Team is helping Amneal unlock the full value of its data to enable smarter decisions across R&D, Supply Chain, Manufacturing, Regulatory, Commercial, and enabling functions.

Why Join Amneal’s Global AI and Data Team?

LinkedIn-Formatted Job Posting

Job Title:

Join Our 50-Person and Growing Global AI, Data & Analytics Team

What You’ll Do

• Manage data platform and analytics delivery from design through deployment
• Drive sprint execution, backlog grooming, and code reviews for global initiatives
• Ensure compliance with Amneal’s Data Lake Management standards
• Collaborate with architects, integration leads, and functional teams across US, Europe, and India
• Lead internal and vendor teams, ensuring scalable, secure, and high-quality data development

You Bring

• 10+ years of experience in Data & Analytics, with 5+ years managing technical teams
• Hands-on experience with 4+ tools from our stack:

  Boomi, Databricks, Glue, Redshift, Reltio, DataStage, Liaison EDI, AWS, IBM Workload Automation

• Track record delivering data solutions for a global public company (preferably US/EU listed)
• Expertise in data governance, metadata, DevOps for data, and stakeholder engagement

Bonus Points For

• Experience in life sciences / pharma
• Strong process mindset, SDLC discipline, and commitment to simplification and reusability
• Passion for using data to drive measurable business impact

Please share CV at :

bhuvneshwari.rathore@amneal.com