Business System Analyst / Technical BA/Data Analyst

Job Summary We are seeking a Business Systems Analyst / Technical Business Analyst / Data Analyst with strong hands-on SQL coding experience and a solid background working with data platforms, analytics, and AI-enabled solutions. This role focuses on translating business strategy into actionable requirements and roadmaps while supporting data quality, governance, metadata, lineage, data modeling, and AI/ML initiatives. The ideal candidate will bridge business and technical teams and use data-driven insights to support scalable and reliable solutions.

Key Responsibilities Translate business strategy into clear product roadmaps, prioritizing data and AI capabilities that deliver measurable business and user impact. Perform hands-on SQL coding, data analysis, and data profiling to support business and technical requirements. Lead the design and operationalization of solutions focused on data quality, metadata management, governance, lineage, taxonomy, and AI readiness. Support AI readiness initiatives involving feature stores, training data quality, and model inputs.

Manage the end-to-end product development lifecycle for data and AI-enabled capabilities. Partner closely with Data Science and Engineering teams to support AI/ML use cases, including advanced analytics, personalization, predictive modeling, and intelligent automation. Gather, analyze, document, and translate business requirements into clear functional and technical requirements. Develop a strong understanding of upstream and downstream systems to help define data models, APIs, integrations, and AI consumption patterns.

Build strong partnerships with business and technology stakeholders and establish continuous feedback loops to improve solution value and adoption. Support product lifecycle management, adoption, migration, and user enablement activities. Drive product discovery, requirements definition, and feature prioritization using Agile and modern product management practices. Use qualitative and quantitative methods to define, measure, and continuously improve product and solution performance. Analyze complex and potentially conflicting requirements and translate them into clear execution plans.

Collaborate with stakeholders across business functions and geographies to communicate priorities, roadmaps, dependencies, and expected outcomes. Support the delivery of reliable, scalable, governed, and trustworthy data and AI solutions. Required Qualifications 5+ years of experience in Product Management, Data Management, Business Systems Analysis, Technical Business Analysis, Data Analysis, or a related field. Strong hands-on SQL coding experience with the ability to perform data analysis and profiling.

Experience working extensively on the data side with data platforms, data models, analytics, and related technologies. Experience launching, supporting, or scaling data platforms and/or AI-enabled products. Experience with data quality, metadata management, data governance, lineage, and taxonomy. Experience working with data platforms and analytics ecosystems, including data warehouses and data lakes. Understanding of AI/ML ecosystems, including feature stores, model pipelines, training data, and MLOps concepts.

Experience managing or supporting B2B or B2B2C data and AI products throughout the product lifecycle. Ability to translate business requirements into actionable functional and technical requirements. Strong ability to prioritize and communicate roadmaps across diverse business and technical stakeholders. Experience using qualitative and quantitative methods to measure and improve product success. Excellent written and verbal communication skills with the ability to collaborate with senior leaders, engineers, data scientists, and business stakeholders.

Bachelor's degree or equivalent relevant experience.

Preferred Qualifications Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Experience using Python for data analysis. Experience with data visualization and analytics tools. Experience within Financial Services, Asset Management, or another highly regulated industry. Experience supporting advanced analytics, predictive modeling, personalization, or intelligent automation initiatives.

Education: Bachelors Degree