Insight Business Partner - Trust Based Solutions

Gen Digital Inc.•New York, NY

3d•Hybrid

About The Position

The Insight Operations & AI Enablement Lead sits within the Global Insights & Strategy team, part of Global Marketing (Marketing, Brand & Communications). The role sits at the intersection of strategy, operations and enablement, building and scaling the operational and AI foundations of the Insight function so the team can move faster, work smarter and focus on high‑value insight and strategy. You will lead the AI enablement agenda for the Insight team (where and how AI supports our work), own core team operations (budget, suppliers and team cadences), and run research operations (tools, governance, compliance and recruitment). By combining strong operations skills with technical curiosity and a service mindset, you will increase the speed, quality and strategic impact of the Insights team while ensuring responsible, compliant and cost‑effective delivery.

Requirements

Bachelor’s degree in a relevant field (e.g. Business, Operations, Marketing, Information Systems) or equivalent practical experience.
Experience in operations, programme management, research operations or marketing operations, ideally within insights, research, analytics, product or marketing.
Hands‑on familiarity with research tools and workflows (e.g. survey platforms, UX testing tools, panels, insight repositories).
Experience managing suppliers, contracts and budgets (planning, tracking, renewals, value assessment).
Experience owning or overseeing AI tool adoption and development of AI workflows, and comfort experimenting with new technology in a structured way.
Strong process and systems thinking – able to map workflows and design simple, scalable processes.
Technically curious – quick to learn new tools and translate them into practical use cases and guidance.
Stakeholder management – credible with researchers, PMs, designers, marketers and ops/finance partners; able to influence without direct authority.
Clear written and verbal communication, including playbooks, how‑to guides and training materials.
Comfortable with change and ambiguity, and able to support others through adoption of new tools and ways of working.
Ability to thrive in a fast-paced, high-tech environment and manage complex problems.
Service‑oriented: motivated by making it easier for the team to deliver great work and for stakeholders to use insight.
Experiment‑driven: prefers test‑and‑learn over big‑bang changes.
Methodical and detail‑oriented: approaches tasks with careful planning, ensuring processes are followed and details are addressed.
Ethical and responsible: thoughtful about risk, especially around customer data and AI.

Responsibilities

Define and maintain the AI roadmap for the Insight team, focusing on clear, high‑value use cases across the insight lifecycle (briefing, analysis, reporting, activation, knowledge management).
Plan and run AI pilots (e.g. summarisation, coding, assistive authoring, knowledge search) with defined success criteria, turning proven pilots into standard workflows.
Own a concise AI playbook covering workflows, prompts, templates and guardrails, including when work should be human‑only vs human‑in‑the‑loop.
Partner with Legal, Privacy, InfoSec and central AI teams to ensure responsible AI use in line with Gen policies.
Support annual planning and in‑year tracking of insight budgets (agencies, panels, tools, training), and manage key renewals, POs and value checks for core suppliers.
Coordinate the team rhythm – meetings, all hands, show‑and‑tells, training and offsites – with clear objectives, agendas, notes and follow‑ups stored in the right places (e.g. SharePoint, Stravito, Teams/Slack).
Maintain and evolve core ways of working (intake/briefing, workstack tracking, debrief templates, documentation) and stakeholder guidance on how to work with the Insight team.
Maintain the inventory of research tools and platforms (survey, UX testing, panels, repositories, dashboards), including owners, contracts and purpose, and recommend standardisation or upgrades where helpful.
Ensure research tools and practices are GDPR‑compliant and aligned to Gen’s privacy and data protection requirements; keep core consent and data‑handling guidance up to date.
Oversee respondent recruitment processes (external panels, customer samples, in‑product intercepts) with agencies and internal partners, monitoring response rates, cost and participant experience.
Create and maintain lean operations templates and checklists (e.g. consent language, incentives, screeners, data‑handling steps) and use automation/AI where appropriate to remove manual, repeatable tasks.