Strategist, Data & Analytics - AI-Driven Marketing Insights

Shift Paradigm

United States

On-site

USD 120,000 - 140,000

Full time

3 days ago

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Benefits offered by this job

Competitive compensation

Remote flexibility

Collaborative culture

Impactful work

Job summary

SH/FT is a consultancy built for transformation, partnering with Fortune 500 brands to turn data into strategic marketing impact.

As a Strategist, Insights & Analytics, you will design data models, predictive frameworks, and measurement strategies, translating complex findings into executive-ready narratives. You will work with client engineers, analysts, and leaders, staying on the cutting edge of cloud data platforms and AI governance to deliver scalable, responsible analytics.

Qualifications

5–8+ years of progressive experience in data, analytics, or data science, with strong depth applied directly to marketing, CRM, or digital personalization challenges.
Bachelor’s or Master’s degree in Business Analytics, Data Science, Management Analytics, or a related quantitative field.
Hands-on proficiency with Python, SQL, and applied ML techniques; comfortable evaluating the right quantitative approach for a given business problem.
Practical experience working in modern cloud data environments (Snowflake, Databricks, or equivalent), including identity resolution, data mart design, and reverse ETL/activation schemas.
Familiarity with AI/ML frameworks and responsible AI governance principles.
Agency or management consultancy experience strongly preferred—you thrive in dynamic, client-facing environments managing multiple workstreams.
Excellent communicator skilled at translating technical builds into strategic, outcome-oriented narratives.
Huge plus if you have experience around semantic layer readiness, tool-calling schema design, agentic workflow orchestration, and evaluation frameworks (Evals).

Responsibilities

Marketing Analytics Strategy & Measurement: Lead current-state data assessments and design phased analytics roadmaps for client engagements. Develop robust KPI frameworks, segmentation models, and advanced testing strategies that drive measurable marketing outcomes.
Applied Analytics & Predictive Modeling: Design practical predictive models using Python and applied machine learning techniques. Evaluate data maturity to select the right analytical approach for each client, turning model outputs into targeted personalization and activation strategies.
Agentic Enablement: Architect semantic layers (such as Genie Ontology, dbt semantic layers, or Unity Catalog documentation) and tool-calling data contracts that enable AI agents and LLMs to accurately query marketing data marts without hallucinating. Develop realistic evaluation frameworks (Evals) and human-in-the-loop guardrails for agentic workflows, testing agent retrieval quality, tool selection accuracy, and output safety in marketing execution. Design agentic workflow specs for marketing operations - mapping how autonomous or semi-autonomous agents can consume churn predictions, creative affinity tags, or audience segments to draft or trigger personalized campaigns.
Data Architecture & Engineering: Architect scalable data strategies and collaborate with data engineering talent—whether in-house, agency partners, or client IT teams—to ensure solutions are built to spec. You will translate business logic into production-ready data models and marketing data marts that hold up against the realities of fragmented, real-world client data.
AI Strategy & Responsible Governance: Help clients navigate fit-for-purpose AI adoption by evaluating models/tools and drafting foundational AI governance frameworks covering data quality, explainability, compliance, and ethics.
Strategic Advisory & Client Leadership: Serve as a trusted subject matter expert on client accounts, bridging technical build conversations and strategic marketing reviews. Translate complex data outputs into clear, executive-ready presentations.
Business Development & Practice Assets: Support account expansion and pitch efforts by drafting technical scopes, estimating level of effort, and designing solution frameworks. Help turn custom client deliverables into repeatable internal templates and firm IP.