Technical Engagement Manager

dentsu•New York, NY

1d•$94,000 - $155,000•Hybrid

About The Position

The Engagement Lead is a primary client-facing owner in ED&D, accountable for connecting delivery execution with strategic advisory and commercial stewardship. The role owns end-to-end client engagements, ensuring delivery excellence; leading teams that may include Architects, Data Engineers, Developers, Business Analysts, and Quality Assurance; developing internal and external relationships; identifying or leading growth pursuits; and connecting clients with broader Dentsu capabilities. Depending on the assignment, the role may oversee ongoing client engagements, lead project-based work, or do both. Engagement Leads are expected to work consultatively, own outcomes, and coordinate across teams to create value for clients. They use data to guide client interactions and understand how it flows, is activated, and contributes to measurable customer experience outcomes and business results. They are conversant with modern data and MarTech stacks, proactive, commercially minded, curious about clients’ businesses, and committed to continuous learning, including hands-on use of AI tools. The position combines client relationship ownership, consultative technology guidance, delivery and team accountability, data governance and compliance, commercial performance, and AI-enabled efficiency. The role requires working knowledge of data platforms and activation platforms, the ability to interpret technical artifacts and evaluate solution trade-offs, and the judgment to identify delivery risks and guide scope and investment decisions. It also supports compliance with privacy, security, data-use, and postal requirements, particularly for regulated clients and third-party data. The position is hybrid, with remote flexibility and regular in-person collaboration. Employees living within commuting distance (90 minutes) of a Dentsu headquarters or hub office may be required to work in the office two to three days per week, including one Team Day. Employees who do not live near an office may be designated remote depending on the role and business needs. Employees are expected to be flexible to meet company and client needs, which may include attending an office from time to time. The annual salary range is $94,000–$155,000, with placement based on relevant experience, knowledge, skills, and other factors permitted by law.

Requirements

At least 5 years of experience in client delivery; technology services experience is preferred.
At least 2 years of experience in a client-facing role with demonstrated relationship ownership.
Experience supporting or leading technology delivery teams, including Business Consultants, Developers, and/or Quality Assurance.
Experience with or working knowledge of customer data technologies, such as data platforms, customer data platforms (CDPs), or identity resolution.
Bachelor’s degree in a related field.
Working knowledge of data platforms and activation platforms sufficient to lead client capability and roadmap conversations.
Ability to translate business problems into data and technology recommendations and communicate across business and technical audiences.
Ability to understand solution architecture, interpret technical artifacts, identify delivery risks, and consider solution cost and performance drivers.
Ability to manage client relationships, delivery commitments, and commercial outcomes.
Knowledge of privacy, data security, PII handling, and applicable data-use requirements relevant to client engagements.

Nice To Haves

Experience in financial services, insurance, or regulated data environments, including credit bureau and third-party data.
Background in financial management, including revenue forecasting, margin tracking, and resource optimization.
Familiarity with data platforms such as Snowflake, Databricks, Google BigQuery, Amazon Redshift, and Microsoft Fabric.
Familiarity with customer data platforms such as Adobe Real-Time CDP, Salesforce Data Cloud, Tealium, Segment, Treasure Data, and Hightouch.
Familiarity with activation and orchestration platforms such as Adobe Journey Optimizer, Salesforce Marketing Cloud, Braze, Iterable, and Oracle Responsys.
Hands-on experimentation with AI tools and awareness of AI capabilities embedded in client platforms.

Responsibilities

Own assigned client engagements, including scope, delivery quality, commercial health, and strategic direction.
Build trusted relationships with stakeholders who own or influence technology and data investment decisions.
Maintain a structured client communication cadence appropriate to each engagement.
Communicate the value and business impact of ED&D engagements.
Maintain working knowledge of data and activation platforms to lead capability and roadmap discussions.
Translate client business problems into structured data and technology recommendations, bridging business and technical audiences.
Lead or co-lead discovery workshops, business reviews, and strategic planning sessions.
Evaluate solution architecture trade-offs, challenge assumptions, pressure-test recommendations, and own the overall solution narrative while delivery specialists handle build and configuration.
Read technical artifacts, including architecture diagrams, data flows, integration specifications, and data models, to confirm alignment with client goals and contracted scope.
Identify technical risks, dependencies, and feasibility concerns early.
Understand solution cost and performance drivers, including compute, licensing, and resourcing, to guide scope and investment decisions.
Maintain a clear understanding of contractual commitments, including scope, SLAs, deliverables, and financial terms.
Act as the internal escalation point and external accountability lead when delivery risks arise, resolving issues proactively.
Coach and empower delivery teams and pod members to engage directly with clients while retaining ownership of the relationship.
Drive consistent application delivery standards, tooling, and ways of working across accounts and projects.
Ensure engagements follow applicable privacy regulations and client policies, including CCPA/CPRA, other state privacy laws, and consent requirements.
Uphold data security and PII handling standards, partnering with security and privacy teams on access controls and data protection.
Ensure credit bureau and third-party data is used in accordance with licensing restrictions and permitted-purpose requirements, including FCRA permissible-purpose and prescreen requirements.
Ensure direct mail and address-related work complies with USPS forms, certifications, and postal regulations.
Support or lead client audits and compliance reviews, particularly for financial services and insurance clients.
Partner with Account Teams on account commercial health, renewals, retention, and organic expansion into new services, use cases, and platforms.
Take accountability for applicable commercial outcomes, including renewal rate, account growth, expansion revenue, and margin.
Manage financial performance through revenue forecasting and margin oversight for ongoing accounts, and budget tracking and change management for project-based work.
Identify and implement efficiency improvements through people, processes, and technology, including AI tools.
Use AI for research synthesis, meeting preparation, status reporting, client narrative development, and pattern-spotting.
Stay current on AI capabilities embedded in client platforms and provide informed perspectives on their potential applications.
Pursue continuous learning through hands-on experimentation.