Head of Marketing Analytics Insights & AI Leader

Merck•Burlington, MA

2d•Remote

About The Position

We’re looking for a bold, forward-thinking leader to redefine how marketing analytics leverages VOC-driven AI to unlock value at scale. Lead an AI-centric marketing analytics operating model as a data product factory. Lead the team that owns the full product lifecycle, from data strategy and governance to AI-driven insights, VOC/research, and lifecycle metrics. Spearhead AI use cases for the Marketing Center with rigorous success metrics. Center VOC insights as a core input to every analytics initiative, acting as a change agent to embed a data-first culture and clear ROI visibility. Architect scalable governance and capabilities to sustain AI-driven marketing outcomes; report directly to the CMO.

Requirements

Bachelor’s degree; MBA/MS preferred.
8+ years in marketing analytics/insights with demonstratable literacy in AI governance models and managing across global marketing organization.
Team leadership experience driving transformation within Marketing Analytics.
Implement governance for AI/ML assets and reuse; deliver MVPs and reusable pipelines; maintain a central knowledge base.
Apply prompt engineering and orchestration patterns (e.g., RAG, agents) for scalable outcomes.
Ensure data governance and privacy: lineage, tagging, attribution, privacy/compliance, and interoperability across systems; codify standards with IT, Legal.
End-to-end ownership.
Proven ability to build, scale, and drive adoption of analytics products (not just dashboards).
Strong understanding of MarTech stacks, data architectures, and privacy/compliance.
SQL proficiency.
Ability to translate data into actionable strategies and ROI.
Strong influence across functions for change management and storytelling.
Experience partnering with IT, D&A, Product Management in regulated contexts.

Nice To Haves

Life Science/healthcare marketing experience.
VOC/survey design and Net Promoter Score program experience.
BI tooling expertise (Tableau, Power BI, Looker).
End-to-end process mapping and AI-centered initiative leadership.

Responsibilities

Deploy 2–3 flagship AI use cases across VOC automation and personalized experiences.
Establish AI governance for marketing.
Create scalable data products and analytics services powering marketing decisions.
Deliver actionable dashboards and end-to-end analytics products; own lifecycle from requirements to post-implementation reviews.
Define a concrete plan for marketing analytics data architecture, alignment with MarTech strategy, VOC execution, clear marketing KPIs.
Standardize workflows, versioning, and cross-functional SLAs with Marketing, IT, and Commercial.
Translate VOC and CX insights into actions; fill gaps, measure impact and ROI; drive Net Promotor Score (NPS)/CX improvements.
Accelerate analytics adoption with clear comms, training, incentives, and executive sponsorship; upskill marketing teams.
Participate in Marketing COE; partner with stakeholders; provide insights to marketing center teams, report ROI to executives.