Product Delivery Associate

About the Role

Support the delivery of customer-focused capabilities by helping teams plan work, clarify requirements, manage delivery artifacts, and monitor progress against outcomes. Contribute to disciplined delivery across the product delivery lifecycle while applying continuous improvement and risk-and-control awareness to help the team deliver value safely and efficiently.

Key Responsibilities

• Partner with Product Managers and cross-functional teams to support delivery planning, execution, and continuous refinement of work aligned to customer needs.
• Apply agile practices to help teams manage ceremonies, track commitments, and maintain healthy work intake and prioritization.
• Support requirements gathering and definition by documenting scope, constraints, dependencies, and delivery considerations; help translate stakeholder inputs into clear delivery-ready requirements.
• Assist with product delivery lifecycle artifacts and traceability from discovery through release and operate, supporting quality gates and auditable delivery.
• Track delivery progress against agreed outcomes/OKRs and contribute to transparent status reporting, risks/issues tracking, and timely escalation when needed.
• Demonstrate foundational AI literacy by using AI responsibly to support analysis and delivery work (e.g., drafting, summarizing, requirements hygiene), and by reviewing AI outputs for accuracy and alignment to standards.
• Contribute to a culture of continuous improvement by identifying opportunities to reduce friction, improve quality, and strengthen predictable delivery.
• Apply risk, controls, and compliance awareness in day-to-day delivery activities (e.g., documentation, approvals, controls checks), escalating concerns appropriately.

Requirements & Tech Stack

• Agile practices: ability to drive predictable agile execution by keeping intake/backlog “ready,” supporting planning/review/retro cadences, and tracking blockers/throughput signals to course-correct quickly.
• Product delivery lifecycle (PDLC) management: ability to maintain discovery-to-release traceability and core PDLC artifacts; coordinate quality gates, handoffs, and release readiness so delivery is controlled and auditable.
• Objectives & Key Results (OKR) definition and management: ability to translate work into measurable outcomes; maintain a lightweight review cadence; flag outcome risk early and drive course-correction actions with stakeholders.
• AI literacy (prompting, evaluation, and responsible use): ability to write clear prompts/constraints to get usable outputs, iterate to improve quality, sanity-check AI-generated content for accuracy and reliability, flag hallucinations/bias, ensure outputs align to organizational standards before use, stay current on relevant tools, and identify repeatable tasks where AI can safely speed up work with appropriate guardrails.
• Stakeholder management: ability to operate effectively across stakeholder groups, align expectations and decision rights, and create clear communication paths for timely decisions.
• Cross-functional collaboration: ability to co-create plans and decisions across disciplines, manage dependencies, and resolve conflicts constructively to keep delivery moving.
• Customer centricity: ability to prioritize delivery decisions based on customer/client needs, ensuring features and trade-offs maximize value and satisfaction.
• Escalation management: ability to surface risks/issues early with impact and options, elevate appropriately, and drive closure to prevent timeline slippage.
• Risk, controls, and compliance management: ability to follow required controls and documentation steps, identify control gaps early, and escalate issues appropriately to prevent downstream delivery risk.

Qualifications

• Continuous improvement: ability to identify small, practical process changes, test and implement improvements, and standardize what works via checklists/templates.
• New product development: ability to support discovery and validation activities, contribute to lightweight experiments/prototypes, and translate learnings into delivery actions.
• Requirements gathering and definition: ability to capture key requirements, scope, and constraints, draft acceptance criteria, and keep requirements documentation clean enough to reduce rework.
• Financial acumen and management: ability to support budget and forecast awareness, understand unit economics/trade-offs, and operate within financial policy and regulatory expectations.