Product Implementation Solutions Lead, Data & Tech

Posted 2 Days Ago
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Hiring Remotely in New York, NY, USA
In-Office or Remote
113K-150K Annually
Senior level
AdTech • Marketing Tech • Software
The Role
Lead technical and operational readiness for onboarding dentsu's Data & Technology solutions. Conduct audits, define implementation criteria, design target-state architectures and data models, map workflows, run pilots, and create standardized onboarding frameworks. Collaborate cross-functionally with Product, Client Success, and Tech to enable scalable integrations, governance, and agentive AI-driven onboarding frameworks.
Summary Generated by Built In

Job Description:

The Product Implementation Prep & Strategy role plays a critical part in bridging dentsu. Connect product capabilities with real-world client delivery. This role is responsible for leading the upfront technical, operational, and architectural readiness required for successful onboarding, integration, and scaling of dentsu’s Data & Technology solutions. Working across Product, Client Success, Practice, and Technology teams, this role ensures that onboarding frameworks, data models, and workflows are scalable, standardized, and aligned to both business outcomes and platform capabilities. As dentsu.Connect evolves toward an AI-driven, agentive operating model, this role also contributes to shaping future onboarding frameworks, defining governance guardrails, and influencing product and automation design to enable intelligent, adaptive client experiences at global scale. 

Key Responsibilities 

Implementation Strategy & Readiness 

  • Lead end-to-end technical and operational audits of AdTech, MarTech, and workflow ecosystems 

  • Define implementation readiness criteria, dependencies, risks, and sequencing across global clients 

  • Develop and maintain standardized onboarding frameworks to support scalable deployment  

  • Support proof of concepts, pilots, and phased rollout strategies 

Process Mapping & Solution Design 

  • Map as-is and to-be workflows across client onboarding, planning, activation, and reporting 

  • Identify pain points, inefficiencies, and operational risks across teams and tools 

  • Translate findings into structured requirements and prioritized improvement areas 

  • Design high-level target-state architectures including integrations and data ownership 

Integration & Data Architecture 

  • Audit, document and find pain points & integration patterns across CRM, dentsu.Connect, and AdTech platforms 

  • Define data models, collaborate through taxonomy standards, and source-of-truth alignment 

  • Ensure data governance, integrity, and scalability 

Cross-Functional Enablement & Collaboration 

  • Partner with Product, Client Success, and Automation teams to align implementation models and success plans 

  • Facilitate workshops and onboarding design sessions 

  • Develop documentation, playbooks, and onboarding materials 

  • Act as a bridge between product vision and client execution 

AI Agentive Platform Evolution 

  • Contribute to the design of agent-driven onboarding frameworks 

  • Define human vs agent decision boundaries 

  • Support governance models including auditability and compliance controls 

  • Translate operational insights into product roadmap requirements 

Qualifications 

  • 6+ years of experience in Media, AdTech, MarTech, SaaS, AI in practice, or product operations roles 

  • Experience working across global clients and multi-market environments 

  • Proven experience conducting technical audits and implementation scoping 

  • Strong understanding of AdTech ecosystems, Media practices, and integrations 

  • Expertise in process mapping and solution design 

  • Experience facilitating workshops and crossfunctional alignment sessions 

  • Strong communication and stakeholder management skills 

  • Ability to translate complexity into clear, structured solutions and frameworks 

  • Experience working cross-functionally across Product, Tech, and Client-facing teams 

  • Exposure to AI, automation, or agentassisted workflows in marketing or operations  

  • Understanding of governance, humanintheloop systems, and AI adoption models  

  • Interest in shaping nextgeneration platform capabilities and intelligent onboarding models and working through the mysteries of the future! 

The annual salary range for this position is $113,000-$150,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.  

Benefits available with this position include:  

• Medical, vision, and dental insurance, 

• Life insurance,  

• Short-term and long-term disability insurance, 

• 401k, 

• Flexible paid time off, 

• At least 15 paid holidays per year, 

• Paid sick and safe leave, and 

• Paid parental leave. 

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies.  For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com. 

To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps. 

At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.

#LI-Remote

Location:

USA - Remote - New York

Brand:

Global Technology

Time Type:

Full time

Contract Type:

Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. 

 

Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to [email protected] by clicking on the link to let us  know the nature of your accommodation request and your contact information. We are here to support you.  

Skills Required

  • 6+ years of experience in Media, AdTech, MarTech, SaaS, AI in practice, or product operations roles.
  • Experience working across global clients and multi-market environments.
  • Proven experience conducting technical audits and implementation scoping.
  • Strong understanding of AdTech ecosystems, media practices, and integrations.
  • Expertise in process mapping and solution design.
  • Experience facilitating workshops and cross‑functional alignment sessions.
  • Strong communication and stakeholder management skills.
  • Ability to translate complexity into clear, structured solutions and frameworks.
  • Experience working cross-functionally across Product, Tech, and client-facing teams.
  • Exposure to AI, automation, or agent‑assisted workflows in marketing or operations.
  • Understanding of governance, human‑in‑the‑loop systems, and AI adoption models.
  • Interest in shaping next‑generation platform capabilities and intelligent onboarding models.
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