Technical Business Analyst

About the Opportunity

We’re hiring our first dedicated Technical Business Analyst for the Strategic Delivery team—someone eager to deepen their impact in product delivery and cross-functional collaboration. Working directly with external client stakeholders, you’ll shape how we define, document, and deliver value across engagements while building expertise in agile, product thinking, and MACH architecture. Over time, you can advance into a Product Owner role or other expanded responsibilities as business needs evolve. If you love turning complexity into clarity and helping clients ship high-impact solutions, we’d love to meet you.

Responsibilities

Discovery, Requirements, & Definition

• Investigate client business needs and translate them into well-structured, actionable technical requirements
• Partner with Consultants/Strategists to clarify business objectives and scope.
• Facilitate early client workshops; translate insights into user stories and testable acceptance criteria.
• Document edge-cases, data flows, and success metrics to guide design and development.

Delivery & Execution

• Work with the PM and Scrum team to keep backlog items clear, complete, and sprint-ready.
• Drive Agile ceremonies (planning, stand-ups, demos, retros) to maintain momentum and visibility.
• Serve as the first line of support for dev/QA—unblocking questions and resolving scope issues fast.

Continuous Improvement & AI Enablement

• Proactively identify automation or AI tools (e.g., ChatGPT and Gemini) that streamline delivery and enhance team velocity.
• Surface friction points and propose backlog improvements under Senior PM mentorship.
• Stay current on emerging technologies (composable commerce, MACH, agile best practices).

Documentation and Communication

• Maintain clear and organized documentation using Confluence, Jira, and related tools.
• Create wireframes, process flows, or diagrams when helpful to align both client audiences and internal stakeholders.
• Communicate effectively across technical, business, and executive-level client stakeholders to foster shared understanding.

Skills and Qualifications

• Experience: 2+ years in business analysis, consulting, or early-stage product roles (e.g., Business Analyst, Implementation Consultant, Product Analyst).
• Client Consulting: Hands-on experience consulting with external clients on digital/software projects—capturing requirements, presenting findings, managing expectations.
• Tools & Methodologies: Comfortable with Jira, Confluence (or equivalents) and agile workflows.
• Communication: Strong written & verbal communication; able to adapt to mixed audiences.
• Critical Thinking: Critical thinker with curiosity for systems, edge cases, and continuous improvement.
• Education: Bachelor’s in Business, IT, Computer Science, or equivalent practical experience.
• Nice-to-have: Exposure to ecommerce, retail tech, MACH/composable platforms.
• AI Mindset: Openness to experimenting with AI tools that improve efficiency, decision-making, or automation.

*AI expectations will vary by role—some positions will focus on AI exploration and experimentation, while leadership roles may drive AI adoption and strategy.

Is this Role a Fit for You?

The Technical Business Analyst role calls for someone who thrives at the intersection of business goals and technical delivery. You’ll find fulfillment in this role if you:

• Thrive on consultative client interactions. You can tailor your style to different industries, personalities, and project constraints.
• Translate complexity into clarity. You can break down vague needs into specific, testable, and actionable requirements.
• Thrive in systems thinking. You’re detail-oriented but never lose sight of the big picture.
• Embrace ambiguity. You stay curious and steady when faced with the unknown and enjoy problem-solving under pressure.
• Support others. You help developers, QA, PMs, and stakeholders work better together through thoughtful collaboration.
• Are eager to grow. You see this role as a launchpad into deeper product ownership and leadership.
• Are AI-aware. You’re not afraid to experiment with AI tools that improve efficiency, decision-making, or automation.