Marketing AI & Analytics Manager

Medius

5d•Remote

About The Position

Medius's Marketing team is aggressively applying AI across its go-to-market motion. This role is crucial for making AI deployment within marketing and sales trustworthy and compounding, rather than reckless. The position involves identifying valuable AI opportunities, instrumenting deployments to track their impact, resolving critical data issues, and maintaining coherence through established standards. The role also includes analyzing current performance and recommending optimizations to enhance marketing's contribution to pipeline and revenue. The successful candidate will enable marketing to confidently adopt AI by building the necessary foundation and measurement systems. This is a senior individual-contributor role reporting to the VP, Marketing Operations & Analytics, with significant influence across the marketing leadership team.

Requirements

5+ years in marketing/sales analytics, including 3+ years at a fast-growth company.
A track record of evaluating, deploying, and measuring AI in a marketing or GTM context — with the judgment to do it on imperfect data.
SQL: able to independently query, validate, and profile data.
Power BI: connect to data sources, build dashboards, manage and edit existing reports; understand ETL well enough to define requirements.
Hands-on experience with Bizible / Adobe Marketo Measure and attribution modelling.
Strong CRM and marketing-automation platform experience, with a solid understanding of how data flows across the CRM/MarTech stack.
Equally comfortable setting strategy and standards and executing hands-on.
Bachelor's degree or higher; ability to pass a background check.

Nice To Haves

Python (a tiebreaker, not a requirement).
Familiarity with 6sense and Qualified.
Understanding of marketing mix modelling and incrementality testing.
Statistical modelling, experiment design, and A/B testing.
Customer-journey and demand-funnel analysis.
Breadth across analytics tools (Bizible, Power BI, DOMO) and experience with Google Analytics / web analytics.
B2B marketing of cloud or high-technology products or services.
Strong project management and cross-functional collaboration; ability to make complex data clear to executives.

Responsibilities

Identify AI opportunities across marketing and cross-functional partners; evaluate pros and cons and set prioritization.
Build deployment plans, project-manage cross-functional teams, produce enablement materials, and define and measure success.
Manage multi-touch attribution (Bizible/Adobe Marketo Measure) while exploring marketing mix modelling and incrementality testing.
Run customer-journey, demand-funnel, and lead-scoring analysis.
Turn marketing-automation and CRM data into KPI dashboards, monthly reporting, board decks, and ad-hoc executive analysis using Power BI.
Improve data architecture, integration, hygiene, and identity resolution across the tech stack.
Stand up the measurement and instrumentation layer; triage data-quality issues by their impact on AI outputs.
Sharpen the marketing-to-sales hand-off through measurement and process improvements.
Influence how each tool is configured and used — especially its AI features — flagging feature overlap and dirty data, in partnership with tool owners and IT security.