Data Steward

About the Role

Key Responsibilities

• Work closely with internal clients in all phases of prototype development and deployment
• Integrate diverse data sources, data types and data structures into data solutions
• Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative product development
• Research innovative data solutions (in distributed cloud computing constrained and unconstrained optimization) to solve real market problems
• Deploy innovations, including AI/ML techniques for predictive analytics
• Develop and implement NLP solutions for keying and linking
• Work with key stakeholders and understand their needs to develop advanced solutions or improve existing solutions around big data and advanced analytics
• Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
• Own the development of automated, threshold-based reports for quality monitoring and act on findings to improve processes
• Work with an evergreen roadmap of initiatives, driving projects to completion
• Deliver on data governance by applying data custodianship, data usage, and internal control processes to ensure compliance and privacy policies are met

Requirements

• Bachelor's degree or higher in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field
• 7 years' experience applying predictive analytics and modeling to solve complex business problems
• 7 years of experience with data handling/quality tools and Big Data ecosystems such as SQL, Google Cloud Platform, BigQuery, with strong SQL skills
• 7 years of experience with data and business insights analysis to identify and drive data quality practices
• 7 years of experience with Python, TensorFlow, and Spark
• Experience or academic coursework in machine learning and artificial intelligence
• Experience in developing AI/ML models using Matlab, Python, Scala/Spark, or SAS

Nice to Have

• Strong communication skills of analytical results to technical and non-technical audiences
• Experience working on big data platforms (e.g., Google Cloud, AWS, Snowflake, Hadoop)
• Experience with NLP (Natural Language Processing), LLMs (Large Language Models) and/or Generative AI
• A strong sense of governance protocols and proactive attention to regulatory, security, and compliance policies
• Demonstrated leadership with cross-functional efforts and effective relationship development
• Ability to manage multiple high-impact projects simultaneously
• Experience working with Commercial/Business information, especially related to corporate ownership (corporate hierarchy)
• Creativity, drive, and a desire to grow in thought leadership, initiative, and strategic thinking

Qualifications

• Bachelor's degree or higher in a related quantitative field