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About the role

  • AI Value Governance & Insights Lead at Morgan Stanley focusing on building AI value management capabilities. Driving forecasting and optimization of AI costs and collaborating across teams in a hybrid role.

Responsibilities

  • Define and implement data-driven approaches to align AI spend with measurable business outcomes
  • Drive AI spend forecasting and financial analytics using advanced analytics and machine learning
  • Integrate AI usage telemetry data to standardize tokenomics and usage tracking
  • Design the scalable self-service analytics platforms
  • Provide local leadership and strategic oversight to a small engineering team
  • Collaborate with cross-functional stakeholders to gather requirements
  • Proactively evaluate emerging technologies for innovation, efficiency, and cost optimization
  • Drive documentation, knowledge sharing, and thought leadership across AI, data engineering, and architecture communities

Requirements

  • 10+ years of experience in data analytics, data engineering, data science, or AI related field
  • Strong Python expertise for data manipulation and advanced analytics (Pandas, NumPy, SciPy, PySpark)
  • Proficiency in SQL and experience with large-scale cloud data platforms (e.g., Snowflake, Databricks, Dataiku)
  • Strong understanding of data architecture, data modelling, and data warehousing concepts
  • Exposure to AI/LLM tokenomics
  • Hands-on experience with data pipelines and processing frameworks (e.g., Apache Spark, Airflow)
  • Experience building analytical dashboards (Power BI, Tableau)
  • Strong analytical thinking and problem-solving skills
  • Knowledge of French and English is required.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible working hours
  • Paid time off
  • Remote work options

Job title

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AirflowApacheCloudNumpyPandasPySparkPythonSparkSQLTableau

Location requirements

HybridMontrealCanada

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