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Associate Director, Web Personalization

KPMG

ROCHESTER, NYJobSeen 6 days agoSeen in employer's feed 6 days ago

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At a glance

Compensation
No compensation found
Location
ROCHESTER, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

KPMG is seeking an Associate Director, Web Personalization, to lead its enterprise personalization roadmap and develop predictive, real-time digital experiences. The role oversees AI conversational agents, recommendation engines, and advanced optimization, while partnering with technology, data, and intelligence teams. It also establishes KPIs and reports to executives on engagement, pipeline, and digital ROI.

Skills & qualifications

RequiredNice to have

Skills

Digital MarketingWeb PersonalizationA/B TestingConversion Rate OptimizationAI Conversational AgentsWeb Hooks/APIHeadless/Composable ArchitectureMetadata & TaxonomyAI Content WorkflowsCMS PlatformsAI-Powered Digital ExperiencesStakeholder ManagementStrategic Technology Advising

Qualifications

8+ Years Digital Marketing ExperienceBachelor's in Marketing, IT, Analytics, or Related FieldU.S. Work Authorization Without Sponsorship

Full job description

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.KPMG is currently seeking an Associate Director, Web Personalization to join our Clients and Markets organization.Responsibilities: * Define and execute the enterprise web personalization roadmap, championing the shift toward predictive, real-time content experiences; design dynamic digital experiences that autonomously adapt to user behavior, intent, and lifecycle stage * Lead the deployment and optimization of AI conversational agents and real-time recommendation engines on the site; ensure visitors receive immediate, tailored guidance, interactive dialogue, and relevant resources that mimic a bespoke, one-to-one consultation * Oversee a sophisticated optimization framework that transcends basic A/B testing; utilize machine learning capabilities and real-time behavioral data to continuously test, refine, and scale complex web experiences and conversion pathways * Actively evaluate, shape, and evolve our digital personalization ecosystem; partner with technology and architecture teams to integrate new AI capabilities, assess emerging platforms, and ensure our architecture seamlessly supports sophisticated, real-time web decisioning * Partner with data and intelligence teams to leverage enterprise customer data and predictive models; build robust, dynamic audience segments that trigger personalized site experiences the moment an account or user lands on a digital property * Establish KPIs and measure the impact of AI-driven web experiences against core business objectives; provide executive-level reporting on how real-time personalization and conversational agents are driving engagement, generating pipeline, and improving overall digital ROI * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environmentQualifications: * Minimum eight years of recent experience in digital marketing, with a focus on web personalization, A/B testing, and conversion rate optimization (CRO) * Bachelor's degree from an accredited college/university in marketing, information technology, analytics, or a related field required * Deep expertise in Web Personalization, AI/Conversational Agents, Web Hooks/API, Headless/Composable Architecture, Metadata & Taxonomy, AI Content Workflows, and CMS Platforms * Proven track record of moving organizations beyond traditional A/B testing to implement real-time, AI-powered digital experiences that drive measurable revenue impact * Excellent stakeholder management skills, with experience acting as a strategic technology advisor to senior marketing leaders * Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees

How this job compares

Set against the 959 open Digital Marketing jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This postingNot listed
  • New York median$88–138K/yr84 salary ranges
  • US median$23–27/hr70 hourly ranges
Openings
Olive Jobs lists 140 open Digital Marketing jobs in New York and 959 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 8 years of experience — more than three in four Digital Marketing postings that state a minimum ask for (median 5 years, across 745 postings).
Education
This posting asks for a bachelor's degree; 324 of the 959 open Digital Marketing jobs (34%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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