Technical Program Manager

Job Description

Key Responsibilities:

Data & Analytics Program Delivery
• Lead cross-functional delivery of marketing data and analytics initiatives (e.g., data integrations, analytic enablement, model activation, measurement frameworks).
• Manage multiple concurrent data-centric workstreams, dependencies, risks, and delivery milestones.
• Ensure analytics initiatives move from discovery or POC into governed, repeatable production solutions.
Data Science & Technical Partnership
• Serve as the primary operational partner to Marketing Data Science teams, supporting intake, prioritization, and delivery of analytics use cases.
• Coordinate with ETS, data engineering, architecture, security, and risk teams to support data ingestion, access, and platform readiness.
• Translate analytic requirements (models, features, signals, measurement needs) into executable delivery plans.
Governance, Risk & Compliance Enablement
• Support enterprise governance processes related to analytics and data use, including:
o Data Transfer Authorizations (DTAs)
o Security and privacy reviews
o Architecture and operational readiness approvals
• Ensure analytics solutions align to enterprise data standards, risk tolerance, and regulatory expectations.
Measurement, Experimentation & Activation Support
• Enable activation of analytic outputs into marketing platforms (e.g., targeting, segmentation, propensity-based journeys).
• Support design and delivery of test-and-learn frameworks, measurement plans, and performance reporting.
• Partner with analytics teams to ensure results are traceable, explainable, and actionable by Marketing stakeholders.
Stakeholder Communication & Influence
• Provide clear, executive-ready updates on data and analytics initiatives, including risks, trade-offs, and decision points.
• Act as a translator between technical data teams and non-technical business partners.
Ways of Working & Continuous Improvement
• Contribute to standardized intake, prioritization, and delivery models for analytics-driven work within Marketing.
• Identify opportunities to improve data delivery speed, clarity, and scalability through better processes, tooling, and cross-team alignment.