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Regular or Temporary:
Regular Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
The Senior Manager, MarTech Data & Platforms Engineering is responsible for leading the architecture, engineering, governance, and operational excellence of the enterprise Marketing Technology data ecosystem. This leader owns the platforms, frameworks, and engineering practices that enable customer data collection, integration, transformation, activation, analytics, measurement, and privacy compliance across the MarTech landscape. This role combines hands-on technical leadership with people management and strategic execution. The Senior Manager drives the modernization of customer data platforms, cloud data infrastructure, digital data collection, identity management, and activation services while leading engineering teams responsible for delivering scalable, secure, and compliant solutions. The ideal candidate possesses deep expertise in cloud data platforms, marketing technology, customer data ecosystems, privacy regulations, platform engineering, and modern software engineering practices.
For this opportunity, Truist requires unrestricted, permanent U.S. work authorization. Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)
ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. MarTech Data Platform Strategy & Architecture
- 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 supporting batch, streaming, and real-time data use cases.
- Drive modernization initiatives across data ingestion, data transformation, and data provisioning capabilities.
- Partner with Enterprise Architecture to align MarTech technology investments with enterprise standards.
Data Engineering & Platform Delivery
- Lead engineering teams responsible for data ingestion, transformation, orchestration, and activation services.
- Deliver scalable pipelines supporting customer profiles, audience activation, campaign execution, personalization, and measurement use cases.
- 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.
Customer Data & Activation Services
- Oversee customer data management capabilities across CDP, AEP, Snowflake, and activation platforms.
- Enable audience creation, segmentation, identity resolution, and customer journey orchestration capabilities.
- Support activation use cases across web, mobile, email, media, CRM, and analytics ecosystems.
- Drive consistency of customer data across platforms and channels..
Platform Governance & Vendor Management
- Establish governance processes for platform configuration, integrations, and data quality.
- Maintain strategic relationships with MarTech vendors.
- Lead vendor evaluations, contract support, and technology rationalization efforts.
- Drive adoption of engineering and operational best practices.
Engineering Leadership
- Lead and develop a team of engineers, architects, and technical leads.
- Create a culture of ownership, accountability, innovation, and continuous improvement.
- Provide direction for staffing, workforce planning, vendor management, and talent Development.
- Mentor engineers and managers in architecture, engineering practices, and platform strategy.
- Establish KPIs and OKRs aligned to platform reliability, delivery, quality, and business outcome
- Foster a culture of ownership, documentation, testing, and compliance‑first engineering.
Core Technical Skills Required
- Snowflake, Databricks, AWS/Azure data services.
- Strong proficiency in SQL, Python, ETL/rETL frameworks, Streaming, Data modeling, API integrations.
- Experience with Adobe Web SDK and server‑side data collection
- Background in platform engineering or modern front‑end frameworks
- Experience implementing mobile app tracking using iOS and Android SDKs.
- CI/CD, version control, and deployment processes, GitHub / GitLab, observability and monitoring.
Leadership & Soft Skills
- Ability to lead through influence while remaining deeply technical
- Clear communicator 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
Qualifications
Required Qualifications The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Bachelor’s degree in Computer Science, Software Engineering, or equivalent combination of advanced education and experience, which could include any combination of 8 years of experience in IT software engineering, 5 years’ relevant business experience (i.e. making technical-related decisions on the business side), 5 years’ experience in project management, and at least 2 years of management experience
- Advanced management and leadership experience leading teams.
- Developing expertise and knowledge of software architecture, development lifecycle, and technology strategy.
Preferred Qualifications
- 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, 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 with the ability to influence stakeholders from engineers to executive leadership.
The annual base salary for this position in Richmond and Raleigh is $133,000-188,000.
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
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