MathWorks is looking for Principal Marketing Technologist in Natick, MA.
This local job opportunity with ID 3847639113 is live since 2026-09-22 23:12:08.
MathWorks has a hybrid work model that enables staff members to split their time between office and home. The hybrid model provides the advantage of having both in-person time with colleagues and flexible at-home life optimizations. Learn More: https://www.mathworks.com/company/jobs/resources/applying-and-interviewing.html#onboarding. MathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence.
Responsibilities Marketing Technology Architecture & Enablement
- Lead the solution architecture, implementation, and optimization of core marketing platforms, including marketing automation, customer data platforms, and downstream integrations.
- Co-Design and maintain end‑to‑end data flows connecting website activity, tagging, CDP processing, and activation in marketing systems.
- Evaluate platform capabilities, constraints, and tradeoffs; provide clear recommendations that balance scalability, maintainability, and business value.
- Serve as a technical authority and advisor for MarTech roadmap planning and capability assessments.
Data Integration & Customer Data Strategy
- Own complex integrations between marketing automation platforms and customer data sources, ensuring accurate, timely, and governed data movement.
- Define and enforce data standards (naming, option values, country codes, segmentation logic, deduplication rules).
- Partner closely with Data Engineering and Analytics teams to support UAT, lineage validation, and production readiness for new integrations and enhancements.
- Proactively identify data quality risks, edge cases, and overlap scenarios; document implications and mitigation strategies.
Audience, Segmentation & Activation Enablement
- Support the design and refinement of marketing audiences, segments, and subsegments, including keyword logic, scoring, and overlap considerations.
- Review and provide feedback on process flows and implementation models for audience creation and activation.
- Act as a thought partner to campaign, operations, and analytics teams to ensure segmentation logic aligns with real‑world execution and measurement.
Documentation, Knowledge Sharing & Standards
- Produce clear, concise, and durable documentation for complex technical solutions (e.g., data diagrams, FAQs, field definitions, usage guidance).
- Translate low‑level technical details into accessible explanations for non‑technical stakeholders.
- Contribute to enterprise‑level documentation including capability definitions, technology inventories, and standards frameworks.
- Set a high bar for documentation quality and reusability across Marketing Technology initiatives.
Cross‑Functional Leadership & Influence
- Act as a trusted partner to Marketing Operations, Analytics, Data Engineering, and Product teams.
- Participate in core and advisory forums influencing metrics, technology direction, and platform governance.
- Provide constructive feedback, technical reviews, and mentoring to peers; help raise overall MarTech maturity.
- Anticipate downstream impacts of design decisions and communicate them clearly to stakeholders.
Scope & Impact (Senior / Principal Level)
- Owns high‑complexity systems that impact multiple teams and regions.
- Operates with minimal direction, setting technical direction rather than just executing tasks.
- Trusted for judgment calls on ambiguity, tradeoffs, and long‑term implications.
- Influence extends beyond immediate team; work shapes standards, frameworks, and best practices across Marketing Technology.
- Known for turning ambiguity into clarity through analysis, structure, and documentation.
Minimum Qualifications
- A bachelor's degree and 10 years of professional work experience (or equivalent experience) is required.
Additional Qualifications Technical
- Marketing automation platforms (e.g., Eloqua or equivalent)
- Customer Data Platforms and identity resolution concepts
- SQL and data analysis for validation and troubleshooting
- Data modeling, option value governance, and normalization
- Integration patterns, UAT, and production validation
Strategic & Interpersonal
- Systems thinking and problem decomposition
- Clear written and verbal communication
- Cross‑functional collaboration and influence
- Ability to balance speed, quality, and long‑term maintainability
- High ownership mindset with strong attention to detail
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