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Digital Risk Advisory Lead

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Sanofi
Full Time position
Listed on 2026-02-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Security, AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Digital Risk Advisory Lead page is loaded## Digital Risk Advisory Lead locations:
Morristown, NJ:
Cambridge, MAtime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
February 28, 2026 (8 days left to apply) job requisition :
R2822496
*
* Job Title:

** Digital Risk Advisory Lead
** Location**:
Cambridge, MA Morristown, NJ
** About the Job
** At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before.

As a Digital Risk Advisory Lead, you will proactively engage with product teams to provide guidance and consultation on Digital solution lifecycle risks and controls.

The Digital Risk Advisory Lead is accountable for anticipating and resourcing the risk and compliance needs of the Digital Data & AI teams. He/she will provide key risk & compliance expertise to establish pragmatic compliance controls supporting selection of data & AI platforms, establishment of global data & AI architecture, implementation of data governance tools at scale, enabling data science capabilities, and design/development/deployment and use of Responsible AI solutions.

Critical aspect of the role includes defining an agile risk and compliance strategy that supports Digital Data & AI unit in their effort to establish a standardized, resilient, and sustainable data and AI model pipeline - including Data Ops, MLOps, Agent Ops.

If you are passionate about Digital/IT and Risk mgmt., if you want to make a difference in how we work, you should come and join a dynamic team with great values!
** MAIN RESPONSIBILITIES
*** Serve as the primary digital risk & compliance advisor for Digital/Business solution owners, providing cross-domain guidance on risk management, control implementation, and action planning.
* Lead risk assessments, quality assurance strategies, and validation activities for digital solutions, with special focus on data science, AI, and machine learning initiatives.
* Collaborate with stakeholders to prepare for regulatory inspections and internal audits, addressing findings through corrective/preventive action plans.
* Define and implement Quality and Compliance Standards for emerging technologies, contributing to the continuous improvement of Digital Quality Systems.
* Review project portfolios and ensure appropriate quality staffing across PODs, Programs & Services to meet stakeholder needs.
* Oversee quality management of third parties including SaaS/cloud suppliers, ensuring compliance with regulatory requirements.
* Deliver training and awareness sessions on digital risk & compliance topics to upskill stakeholders and promote a culture of quality.
* Support IT Risk Management through identification, characterization, and development of mitigation plans in collaboration with Digital Units.
* Execute ICM and SOX Campaigns, including monitoring and implementing corrective actions to maintain compliance.
* Plan, monitor, and report on Digital Quality Operations activities within domain of responsibility, optimizing controls implementation.
** About You
*** Bachelor's Degree with 5+ years of experience in Quality Management, Computerized Systems compliance (GxP, SOX, Data Privacy), or Information Technology in regulated environments is highly preferred.
* Demonstrated experience in data governance and AI solution development, preferably in risk advisory context, with specific expertise in data science, data engineering, MLOps engineering, or software engineering within regulated and agile environments.
* Proven ability to identify and address emerging regulatory compliance risks, particularly in data science, AI, and ML domains.
* Strong leadership capabilities with demonstrated success in influencing stakeholders and driving strategic decisions across multiple teams.
* Excellent communication and presentation skills, with experience in delivering technical training and educational content to diverse audiences.
* Exceptional problem-solving abilities and adaptability, with proven success navigating dynamic technological environments and building effective stakeholder…
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