About The Position

The Senior Manager, MarTech Data & Platforms Engineering leads the architecture, engineering, governance, and operational excellence of Truist’s enterprise Marketing Technology data ecosystem. The role owns the platforms, frameworks, and engineering practices that support customer data collection, integration, transformation, activation, analytics, measurement, and privacy compliance across the MarTech landscape. It combines hands-on technical leadership, people management, and strategic execution, including modernization of customer data platforms, cloud data infrastructure, digital data collection, identity management, and activation services. The Senior Manager leads engineering teams delivering scalable, secure, and compliant solutions. The position sets the MarTech data and platform engineering roadmap; oversees platform architecture, delivery, reliability, governance, and vendor relationships; and develops engineers, architects, and technical leads. The role works with Enterprise Architecture and stakeholders across engineering, product, marketing, and executive leadership to align technology investments and deliver customer data and activation capabilities.

Requirements

  • Bachelor’s degree in Computer Science or Software Engineering, or an equivalent combination of advanced education and experience.
  • Advanced management and leadership experience leading teams.
  • Developing expertise and knowledge of software architecture, the development lifecycle, and technology strategy.
  • Ability to lead through influence while remaining deeply technical.
  • Clear communication with engineers, product teams, marketers, and executives.
  • Strong bias toward clean implementation, documentation, and long-term maintainability.
  • Comfort making architectural decisions in ambiguous or regulated environments.
  • Unrestricted, permanent U.S. work authorization; Truist will not sponsor work visas or provide immigration-related support.
  • Core technical skills listed include Snowflake, Databricks, and AWS/Azure data services; SQL, Python, ETL/rETL frameworks, streaming, data modeling, and API integrations; Adobe Web SDK and server-side data collection; platform engineering or modern front-end frameworks; mobile app tracking using iOS and Android SDKs; CI/CD, version control, deployment processes, GitHub or GitLab, observability, and monitoring.

Nice To Haves

  • 10+ years of software, data, or platform engineering experience.
  • 5+ years leading engineering teams and large-scale technology programs.
  • Deep expertise in customer data management, cloud engineering solutions, and federated data and mesh data architecture.
  • Strong background in cloud-native architecture, data engineering, and privacy-compliant solutions.
  • Proven experience driving modernization, automation, and operational excellence initiatives.
  • Exceptional communication skills and ability to influence stakeholders from engineers to executive leadership.

Responsibilities

  • Define and execute the technology roadmap for MarTech data and platform engineering.
  • Lead the architecture and evolution of customer data platforms, marketing data services, and activation frameworks.
  • Establish scalable architectures for batch, streaming, and real-time data use cases.
  • Modernize data ingestion, transformation, and provisioning capabilities in partnership with Enterprise Architecture and in alignment with enterprise standards.
  • Lead engineering teams responsible for data ingestion, transformation, orchestration, and activation services.
  • Deliver scalable data pipelines supporting customer profiles, audience activation, campaign execution, personalization, and measurement.
  • Own platform reliability, scalability, performance, resiliency, and technical debt management.
  • Establish engineering standards, reusable frameworks, CI/CD pipelines, and automation practices.
  • Ensure operational excellence through proactive monitoring and observability.
  • Oversee customer data management capabilities across CDP, AEP, Snowflake, and activation platforms.
  • Enable audience creation, segmentation, identity resolution, and customer journey orchestration.
  • Support activation across web, mobile, email, media, CRM, and analytics ecosystems.
  • Drive consistency of customer data across platforms and channels.
  • Establish governance processes for platform configuration, integrations, and data quality.
  • Maintain strategic relationships with MarTech vendors; lead vendor evaluations, contract support, and technology rationalization.
  • Drive adoption of engineering and operational best practices.
  • Lead and develop engineers, architects, and technical leads, and provide direction for staffing, workforce planning, vendor management, and talent development.
  • Create a culture of ownership, accountability, innovation, continuous improvement, documentation, testing, and compliance-first engineering.
  • Mentor engineers and managers in architecture, engineering practices, and platform strategy.
  • Establish KPIs and OKRs aligned to platform reliability, delivery, quality, and business outcomes.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • Accidental death and dismemberment coverage
  • Tax-preferred savings accounts
  • 401(k) plan
  • At least 10 days of vacation during the first year, prorated as applicable
  • 10 sick days, prorated as applicable
  • Paid holidays
  • Depending on position and division, possible eligibility for a defined benefit pension plan, restricted stock units, and/or deferred compensation plan
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