Strong presentation and change management skills.
Expert in SQL, SnowSql coding, ETL, and data warehousing.
Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
10+ years in data management, including integration, modeling, and optimization.
Hands-on experience with Analytics tools and platforms like Snowflake or Informatica Cloud.
Experience with data management, including integration, modeling, and optimization (explicit in Experience).

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Risk Modeling & Data Governance Associate

Santander Holdings USA

Dallas, TX 75201

Onsite

Hands-on experience with Retrieval-Augmented Generation (RAG) systems, including document ingestion, chunking strategies, embeddings, retrieval techniques, orchestration frameworks, and response grounding.
Generative AI expertise, including evaluation of LLM architectures, design decisions, implementation approaches, and associated risks such as hallucinations, bias, and toxicity.
High attention to detail and a strong commitment to quality, accuracy, and governance standards.
Strong Python proficiency for data manipulation, validation, automation of controls, and development of reproducible, well-documented scripts using version control.
Effective written and verbal communication skills, particularly in documenting and explaining complex technical and governance topics.
Experience using Power BI to develop dashboards that visualize data quality metrics, trends, and validation outcomes.
Quantitative or analytical professional background in Finance, Economics, Statistics, Mathematics, Engineering, or a related discipline – Required.
The base pay range for this position is posted below and represents the annualized salary range.
Bachelor's Degree or equivalent work experience – Required.
SQL proficiency, including data extraction, joins, aggregation, reconciliation, and validation across multiple data sources.
Demonstrated ability to operate effectively within a controlled, regulated environment with strong documentation standards and a risk-and-controls mindset.
Collaborative mindset with the ability to partner effectively with technical teams and business stakeholders.
Knowledge of machine learning models, including development, validation, performance testing, and monitoring techniques.
Hands-on experience with AWS-native services such as Bedrock, Lambda, API Gateway, S3, IAM, CloudWatch, and MLOps or LLMOps capabilities.
Experience in the financial services industry with exposure to data management, risk modeling, and regulatory compliance (e.g., BCBS 239, SR 11-7) – Required.
Strong analytical and critical thinking skills with the ability to independently challenge model assumptions and conclusions.
Prior consulting, advisory, or second-line oversight experience within data governance, model validation, or risk analytics environments – Preferred.
7+ years of experience working with statistical models, developing, and/or validating machine learning or Generative AI solutions, including rigorous testing and documentation – Required.
Proven ability to communicate complex technical, data, and model risk concepts clearly to non-technical governance and risk stakeholders.

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Technical Program Manager - Logistics Domain - Onsite

NTT DATA

Dallas, TX 75215

Onsite

Bachelor's or master's in Computer's Science Applications or equivalent work experience
8+ Years Manhattan WMOS Warehouse Management System (WMS)
8+ years relevant experience in Logistics, Supply Chain and Retail experience
10+ years of Project/ Program management experience
5+ years IBM Sterling Order Management System (OMS)

SmartExplore AI is experimental.

New, Posted 1 day ago

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