Lead structured discovery workshops with client engineering and product leadership.
Compile and maintain detailed requirements matrices documenting data types, system interfaces, processing frequencies, and dependency classifications.
Own scope tracking and MVP boundary management.
Consolidate and maintain business glossaries, metadata standards documentation, and data governance artifacts.
Act as the coordination bridge across concurrent workstreams.
Facilitate technical feasibility workshops, track open questions and unresolved dependencies, and escalate risks to the project lead.
Translate complex technical architecture concepts into clear written requirements.
Support the Program Manager in maintaining decision logs, action item trackers, risk registers, and stakeholder communication cadence.
Produce clear, structured written artifacts throughout the engagement.
Assist with light project management responsibilities including milestone tracking, status reporting, and coordination of cross-team dependencies.

Bachelor’s degree in Business, Computer Science, Information Systems, or a related field required.
Advanced degree preferred.
5+ years of experience as a business analyst or requirements analyst on data, analytics, or technology platform engagements.
Demonstrated ability to facilitate structured discovery workshops with technical and non-technical stakeholders and produce clear, usable requirements artifacts from those sessions.
Experience with AWS data platform engagements preferred.
Familiarity with cloud data architecture concepts.
Exposure to AWS services (S3, Glue, Redshift, DataZone, Lake Formation) in a project context is preferred.
Light project management experience including milestone tracking, action item management, status reporting, and dependency coordination.
Strong written communication skills with a proven ability to produce structured documentation.
Ability to manage context across multiple concurrent workstreams.
Comfortable operating in a Phase 0 or architecture-and-planning engagement mode.
Familiarity with emerging technology domains such as edge computing, IoT, or AI/ML systems is a plus but not required.
Excellent stakeholder management and organizational skills.

Technical Business Analyst

Key skills