Director of Data Engineering & AI Strategy at Incubeta | Apply at Incubeta

About the role

About Incubeta:

Incubeta is a global marketing partner focused on driving profitable growth by bringing media, creative, data, and technology together into one integrated solution. We partner with CMOs and business leaders who demand clarity, accountability, and meaningful results. We are positioned for momentum in the Americas, believing the future belongs to agencies that can connect performance and brand, strategy and execution, creative and media.

Role summary:

This is a high-impact leadership role responsible for owning and scaling the Google Marketing Platform (GMP) capability within a broader Market Intelligence function. You will lead the GMP consultancy offering end-to-end, combining deep technical expertise, team leadership, and commercial ownership, with a clear mandate to evolve the function into a more scalable, resilient, and high-performing capability. This is not a purely strategic or managerial role. We’re looking for a hands-on technical leader who remains close to the platforms, acts as a senior escalation point, and leads by example in solving complex client challenges. You’ll operate at the intersection of ad tech, media, sales, and data, playing a key role in both delivery excellence and revenue growth.

Responsibilities:

Technical Leadership & Delivery

Act as the senior escalation point for complex GMP-related challenges, particularly across DV360 and CM360
Provide hands-on support across key client work, troubleshooting platform issues and guiding solutions
Maintain a strong working knowledge across the broader GMP stack (SA360, GA4, etc.)
Lead by example, actively contributing to delivery rather than operating purely at a distance

Team Leadership & Capability Building

Lead and develop a team of experienced GMP practitioners
Build a more scalable and resilient capability, reducing reliance on individual specialists
Design and implement structured upskilling initiatives across the GMP stack
Mentor senior team members and support their development in both technical and client-facing areas

Commercial & Operational Ownership

Own the P&L for the GMP function, including forecasting, planning, and performance tracking
Identify opportunities to increase platform adoption, usage, and revenue contribution
Drive operational improvements to support scalability, efficiency, and consistency across clients
Contribute to the broader commercial success of the Market Intelligence function

Sales & Growth Enablement

Partner closely with sales and growth teams to support new business opportunities
Lead the development of technical proposals and solution design for GMP-related pitches
Help position GMP as a strategic growth driver, not just a delivery function
Support cross-sell and upsell opportunities across existing clients

Cross-Functional Collaboration

Work closely with media, strategy, sales, and data science teams to deliver integrated solutions
Ensure GMP capability is aligned with broader marketing intelligence and effectiveness strategies
Contribute to a more connected, less siloed approach across the business

Partnership & Innovation

Build and maintain relationships with key stakeholders within Google GMP
Stay at the forefront of new platform developments, features, and industry changes
Drive adoption of new capabilities (e.g. privacy-first solutions, automation, AI-led features)

Requirements:

8–10+ years experience in digital marketing / ad tech, with strong agency exposure
Deep, hands-on expertise in DV360 and CM360 (priority areas)
Working knowledge of SA360, GA4, and broader GMP ecosystem
Proven experience leading experienced practitioners, not just junior teams
Ability to act as a senior technical authority and escalation point
Strong understanding of commercial models, with experience owning or influencing P&L
Experience supporting sales processes, pitches, or client growth initiatives
Confident communicator, able to translate technical detail into commercial value

Nice to Have:

Experience working within a GMP reseller or consultancy environment
Exposure to client-side roles (understanding internal stakeholder challenges)
Knowledge of data platforms and tools (e.g. BigQuery, Looker, GCP)
Experience with Performance Max, value-based bidding, or feed management
Google certifications across DV360, CM360, SA360, GA4
Experience contributing to or building go-to-market strategies
Familiarity with AI, automation, and emerging ad tech trends

Key skills/competency:

Google Marketing Platform (GMP)
Data Engineering
AI Strategy
DV360
CM360
Ad Tech
Team Leadership
P&L Management
Sales Enablement
Client Relationship Management

How to get hired

Tailor your resume: Highlight your extensive GMP, DV360, and CM360 experience. Emphasize leadership, P&L management, and sales enablement achievements.
Showcase technical depth: Quantify your impact with data, detailing how you've solved complex client challenges and scaled capabilities.
Demonstrate leadership: Provide examples of leading experienced teams, mentoring senior practitioners, and driving upskilling initiatives.
Understand Incubeta's vision: Research their focus on integrated solutions, profitable growth, and connecting performance with brand. Align your application with their strategic goals.
Prepare for technical and commercial questions: Be ready to discuss your hands-on platform experience, commercial acumen, and ability to translate technical value into business outcomes.

Frequently asked questions

What is the primary focus of the Director of Data Engineering & AI Strategy role at Incubeta?

The Director of Data Engineering & AI Strategy role at Incubeta is focused on leading and scaling the Google Marketing Platform (GMP) capability. This involves a blend of deep technical expertise in platforms like DV360 and CM360, strong team leadership, and commercial ownership to drive profitable growth and enhance the Market Intelligence function.

What specific Google Marketing Platform (GMP) expertise is most critical for this role?

Deep, hands-on expertise in DV360 and CM360 is the highest priority for this role. Additionally, a working knowledge of SA360, GA4, and the broader GMP ecosystem is important for success in this Director position.

Is this a purely strategic or hands-on technical role at Incubeta?

Incubeta is seeking a hands-on technical leader for this role. While strategic thinking is crucial, the individual must remain close to the platforms, act as a senior escalation point for complex challenges, and lead by example in solving client issues.

What are the key responsibilities regarding team leadership for the Director of Data Engineering & AI Strategy?

Key responsibilities include leading and developing a team of experienced GMP practitioners, building a more scalable and resilient capability, designing and implementing upskilling initiatives, and mentoring senior team members to foster their technical and client-facing development.

How does this role contribute to Incubeta's commercial and sales efforts?

The Director of Data Engineering & AI Strategy plays a vital role in sales and growth enablement by partnering with sales teams, leading technical proposal development, positioning GMP as a strategic growth driver, and identifying cross-sell and upsell opportunities with existing clients.

What is Incubeta's stance on remote work for this Director of Data Engineering & AI Strategy position?

This Director of Data Engineering & AI Strategy position is fully remote, open to candidates located in either the US or Canada. A preference for the Eastern Time Zone is noted for scheduling and collaboration purposes.

What kind of commercial and operational ownership is expected in this role?

The Director will own the P&L for the GMP function, including forecasting and performance tracking. They are also expected to identify opportunities to increase platform adoption and revenue, and drive operational improvements for scalability and efficiency.

What technical skills beyond GMP are beneficial for this role at Incubeta?

While GMP expertise is primary, knowledge of data platforms and tools such as BigQuery, Looker, and GCP is considered a 'nice to have'. Familiarity with AI, automation, and emerging ad tech trends is also highly valued.

Director of Data Engineering & AI Strategy

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