This is a remote position.
Timings:Should be comfortable to work within 4-5 hours in US elapse Timing.
Position Summary:
This a client-facing role requiring both technical and business/marketing knowledge and skills. AM/CDP Consultants work to gather and understand their client’s unique business requirements and develop and build customized solutions to meet their client's advertising and reporting needs with the Audience Manager platform/CDP. In addition, consultants help each client implement the solution and applications, perform quality checks to ensure that the implementation work has been completed successfully, and diagnose and solve technical issues when they arise. In addition to implementation work, the AM/CDP Consultant works with clients to further their reporting and analysis efforts and drive business value from the platform. It is a technical job that also requires a solid advertising business and analysis acumen and involves constant customer interaction. Additionally, this role requires the consultant to work on data ingestion part along with Data Engineers & Architects to design the XDM Models & Schemas which needs SQL and Database knowledge. The consult would also need to work very closely with Adobe Analytics/Adobe Target/Adobe Campaign teams to design & define multi-solution use cases.
What you’ll do
- Lead tech & strategy solutions engagements across multi-functional workstreams; data management platform (DMP - AAM) or customer data platform (RT-CDP), offline data onboarding, analytics, and digital media campaigns.
- Gain an in-depth knowledge of client’s advertising platform and architecture needs, online business model, and online marketing strategy
Gather, document, and help form/guide client business requirements, key performance indicators and other functional and/ or technical requirements
- Work with the internal teams and client stakeholders to develop solutions/use cases to meet client’s unique requirements, which include combinations of data, technology, partners, data integrations and analytics.
- Design customized solutions and technical tag implementation strategies
Generate customized code and assist with its implementation and deployment
Support client’s developers and third parties throughout the implementation and integration processes
Validate and debug implementation and follow through on issues until resolved
Advice key stakeholders and drive client success based on clients most important business drivers
Produce reporting and content aligned to client's digital advertising KPI's and facilitate the reporting and analysis activities with client resources
Interact frequently with clients via phone, email, and/or in-person—including interaction with marketers, analysts, web developers, and C-level executives
Communicate confidently and pro-actively with customers throughout the project lifecycle
Manage multiple client engagements simultaneously
Manage customer expectations appropriately and keep projects on schedule and within scope
Become an expert in the use of Adobe products and the methods by which they can be used to effectively optimize online businesses
Work to educate clients on the best practices in relation to their specific industry and key business requirements
Keep accurate daily records of client billable time
Some technical writing and PowerPoint presentation creation
Some manipulation and usage of DSP's information and knowledge of integration points
What you need to succeed
5+ years’ experience working in digital advertising technology or media strategy, analytics or digital agency or equivalent years of experience within the digital arm of a consulting.
Solid understanding of online marketing
Strong understanding of HTML and web protocols
Intermediate-to-advanced JavaScript skills, SQL, Database knowledge
Ability to work with large data files onboarding, use of FTP/S3 clients
Ability to use debugging tools like Charles, Postman, and similar tools.
Strong understanding of Tag management tools.
API knowledge to setup non expiry Query Service Credentials for BI Connections
Understanding of ADF’s, most used Spark SQL functions like arrays, Date and Struct
Passion for the internet domain and use of technology to solv