AI-Driven Technical Business Analyst (Hybrid NY)

Turing

New York (NY)

Hybrid

USD 150,000 - 180,000

Full time

8 days ago
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Benefits offered by this job

Amazing work culture
Awesome colleagues
Competitive compensation

Job summary

Turing in New York is seeking a Technical Business Analyst who can bridge Operations, Finance, and software delivery. You will translate complex business needs into clear, testable requirements for engineering teams, focusing on reducing ambiguity and accelerating delivery while ensuring quality.

You will collaborate with stakeholders, product owners, and engineers to define workflows, acceptance criteria, and non-functional requirements, using AI tools responsibly to support analysis and

Qualifications

  • 8+ years experience in business analysis or similar leading requirements on software projects.
  • Strong discovery and requirements skills to convert conversations into testable requirements quickly.
  • Comfort in technical discussions: APIs, data flows, and asking the right questions.

Responsibilities

  • Lead discovery with stakeholders to map current-state workflows and desired outcomes.
  • Translate business needs into delivery-ready artifacts: workflows, user stories, acceptance criteria.
  • Refine requirements with engineers and product owners to keep execution unblocked.
  • Support testing and validation with test scenarios and UAT coordination.
  • Maintain traceability and data lineage for auditability.

Skills

Years of experience
Discovery
Requirements gathering
Stakeholder management
Technical discussions
Written communication
Workflow/data thinking
Independent ownership

Job description

Turing in New York is seeking a Technical Business Analyst who can bridge Operations, Finance, and software delivery. You will translate complex business needs into clear, testable requirements for engineering teams, focusing on reducing ambiguity and accelerating delivery while ensuring quality.

You will collaborate with stakeholders, product owners, and engineers to define workflows, acceptance criteria, and non-functional requirements, using AI tools responsibly to support analysis and

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