AI Governance & Data Science Lead

Remote • Posted 7 hours ago • Updated 6 hours ago

Full Time

25% Travel Required

Remote

$190,000 - 210000/yr

SG Analytics Inc.

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Data Science
Artificial Intelligence
Machine Learning
AI Governance
AI Risk Management
AI Compliance
Production-level AI Deployment
Generative AI
LLM
MLOps
Data Pipelines

Summary

Role Overview: We are looking for a Senior Manager to lead our AI Governance and Data Science initiatives. This is a high-impact role that bridges the gap between technical execution and strategic AI oversight. You will be responsible for moving AI projects from concept to production while ensuring they are ethical, compliant, and scalable.

What You’ll Do:

Lead the design and deployment of production-grade AI and Machine Learning solutions.
Operationalize AI governance frameworks focusing on bias detection, model risk management, and explainability.
Act as a technical advisor to client leaders on AI ROI, feasibility, and risk.
Ensure compliance with global AI regulations (NIST, GDPR, SOC 2).
Manage data pipelines, API strategies, and QA frameworks for AI rollouts.

Required Qualifications:

8+ years in Data Science/AI with 3+ years in leadership.
Proven track record of deploying production-ready AI solutions (not just prototypes).
Strong expertise in Generative AI, LLMs, and MLOps.
Hands-on experience with AI governance, risk, and compliance (GRC).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90962613
Position Id: 8864565
Posted 7 hours ago

Company Info

About SG Analytics Inc.

At SG Analytics, We Are Continuously Learning and Growing.

The opportunity of setting up SG Analytics in 2007 came at the most unexpected moment. It arrived in the form of a phone call from a friend in the US who said he wanted to outsource some analytics-related work to a company. Since he had not been able to finalize any deal, he suggested that Sushant take up the work. A choice to meet one client’s investment research requirement has grown exponentially from there.

With our ability to continuously learn and evolve according to market needs, today, we are a 1600-plus global team that offers AI/ML-led data-centric insights and contextual analytics services.

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