Senior AI Product Manager

The Senior AI Product Manager will be a hands-on analysis partner for NIQ business stakeholders and Enterprise Productivity technology teams. The primary responsibility is to work closely with EP Tech Leads to surface business needs, define problems, elicit and document requirements, assess use cases, and validate that proposed and delivered capabilities address the agreed business need. The role will also support the EP Owner with a concise, current view of the status of each stream. These are supporting responsibilities. The role is principally accountable for delivering high-quality business analysis and helping business and technology teams reach clear, evidence-based decisions.

Responsibilities

Act as the Senior AI Product Manager partner for assigned EP streams, working directly with Tech Leads, business sponsors, subject matter experts, and users throughout the delivery lifecycle; Identify operational pain points, user needs, process gaps, improvement opportunities, and use cases that warrant assessment; Plan and facilitate interviews, discovery sessions, and workshops that clarify current processes, business rules, constraints, desired outcomes, and affected users; Analyze incomplete or conflicting inputs, identify gaps and assumptions, and turn them into a clear problem statement and agreed scope; Produce fit-for-purpose analysis artifacts such as process maps, user journeys, functional and nonfunctional requirements, user stories, acceptance criteria, and decision records; Trace requirements from the original business need through design, delivery, validation, and release; Manage requirement changes and clarify their implications for scope, users, dependencies, controls, and expected outcomes; Define the business value, target users, expected outcomes, scope, assumptions, dependencies, risks, and success measures for each use case; Challenge unclear requests and solution-led assumptions constructively; Give Tech Leads the business context and stakeholder access needed to assess feasibility, solution options, and delivery implications; Coordinate business review of requirements, prototypes, proofs of concept, and delivered capabilities; Confirm that acceptance criteria and validation evidence address the original problem and agreed outcomes, escalating material gaps or changes; Build effective working relationships with business sponsors, users, subject matter experts, Tech Leads, product and delivery partners, and relevant control functions; Set clear expectations for stakeholder participation, decisions, approvals, and validation activities; Facilitate discussions where needs or requirements conflict, document the outcome, and escalate unresolved decisions; Support adoption and outcome reviews; Help the EP Owner maintain a concise, current view of each stream, including overall status, key milestones, blockers, risks, dependencies, decisions, and next actions; Collect and verify updates with stream owners, focusing leadership attention on material changes and items that need a decision or intervention

Requirements

Substantial hands-on experience as a Business Analyst or Senior Business Analyst in a technology-enabled enterprise environment; Demonstrated experience eliciting, analyzing, documenting, and validating complex business and system requirements across multiple stakeholder groups; Strong process analysis, problem definition, use case assessment, requirements management, and acceptance criteria skills; Strong workshop facilitation, stakeholder management, negotiation, and written communication skills, including the confidence to challenge ambiguity and escalate unresolved issues; Ability to create clear process models, user stories, requirements, business cases, decision records, and concise status summaries; Strong analytical judgment and attention to detail, with the ability to connect detailed requirements to broader business outcomes; Working knowledge of Agile delivery practices and common lifecycle controls from discovery through release and benefits validation; Ability to maintain a simple cross-stream status view without losing focus on detailed Business Analysis delivery; Proficiency with collaboration, requirements, process modeling, tracking, and reporting tools used in enterprise technology environments

Nice to have

Experience supporting enterprise productivity, automation, artificial intelligence, data, analytics, or internal platform initiatives; Experience assessing AI or automation use cases, including data readiness, adoption, responsible use, and measurable business value; Familiarity with change management, process improvement, benefits realization, or portfolio governance discipline

Benefits

Flexible working environment; Volunteer time off; LinkedIn Learning; Employee-Assistance-Program (EAP)