Job Description & Summary
A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities.
We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.
Candidates should demonstrate substantial experience and / or knowledge in any sector in any of the following areas :
We are looking for AEP Enterprise / Data Architect with 10+ years of experience in leading Experience Platform technology delivery work and sessions from pre-sales to delivery.
Strong experience in data modelers, SQL, ETL, with some development background to provide defining new data schemas, data ingestion for Adobe Experience Platform customers.
Deliver Experience Platform Implementation offerings and evaluate customer use cases for POC technical feasibility.
Lead the industry verticals and help build best practices architecture and use cases. Help and support Account teams.
Execute on the business needs and making business critical decisions for scoping and sizing programs and enabling a consistent and agile delivery process
Collaborate with Technical & Marketing teams to finalize use cases & relevant documentation.
Coordinate with the Technical team to review all customer data sources required for use cases for deeper data discovery.
Design & estimate deep technical & custom development solutions that meet Client requirements
Develop robust recommendations, proposals and scope of work documents, also identifying the critical dependencies & gaps.
Present your proposals to executive-level Client in a clear and compelling way
Help Client understand platform capabilities and the transformative power of digital marketing
Create necessary technical documentation, Entity Relationship Diagrams (ERD) to review & sign-off with the customer
Architect tailored Adobe Experience Platform detailed data model, data mapping to meet defined uses cases
Create all required Adobe XDM (Experience Data Model) in JSON based on approved data model for all loading data files
Utilize Adobe Experience Platform (AEP) UI & POSTMAN to automate all customer schema data lake & profile design setups within each sandbox environment
Configure within Adobe Experience Platform all necessary identities & privacy settings
Coordinate with IT team and / or Data Engineers on the XDM requirements needed for data ingestion into AEP
Create new segments within AEP to meet customer use cases. Test / Validate the segments with the required destinations
Interface directly with enterprise customers and collaborate with internal teams.
Continuously improve the team's knowledge, methodologies and client-facing collateral
Experience with one or more back end / server-side technologies including : SOAP / REST, SQL / NoSQL databases and Microservices
Manage customer data by using Real-Time Customer Data Platform (RTCDP), create customer journeys by using Journey Orchestration (JO), and analyze customer data by using Customer Journey Analytics (CJA).
Strong knowledge of Experience Data Model (XDM) schemas and datasets in Adobe Experience Platform, load data into Platform through data source connectors, APIs, and streaming ingestion connectors.
Skills Preferred :
Candidates should be able to demonstrate extensive customer transformation consulting abilities within a project team that includes the following :
Strong drive to solve customer technical requirements & rapidly convert pipeline opportunities into closed deals
Balance of business & technical acumen, including ability to articulate high level technical solutions to business problems and tie your solutions to program success criteria
Experience architecting & estimating deep technical custom solutions & integrations that require large data volumes & cloud environments
Experience in building large-scale data processing projects using AWS technologies - (Lambda, S3, EC2, EMR, Kinesis, DynamoDB, API Gateway)
Experience with Data Modeling and tuning of relational as well as NoSQL datastores (Athena, MongoDB, MySQL, Redshift, etc.)
Experience in ETL development using Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
Outstanding problem solving and analytical skills, including ability to create clear observations, analysis and conclusions based on customer interviews and data
Ability to translate functional / nonfunctional requirements to systems requirements
Ability to write test cases and scenarios based on the specifications
Excellent customer facing skills with experience presenting to and achieving buy-in from senior executives (i.e. Managers, Directors, VPs, CMOs, and CXOs)
Good knowledge of Data Science Workspace and building intelligent Services on AEP
Knowledge of Business Intelligence, Reporting Tools, Quality Processes and estimation techniques
Team player who can collaborate with multiple stakeholders to arrive at the best solution
High degree of intellectual curiosity and ability to learn and apply new concepts and technologies in a wide variety of marketing disciplines
Good understanding of SDLC and agile methodologies. Partner with the Program team members for capacity planning and resource allocation in an agile team.
Engages team with making appropriate commitments through story selection and task definition.
Educational Background :
Post Grad and Degree in Computer Science and Engineering from a well-known university.
Travel Requirements : Travel to client locations may be required as per project requirements.
Designation : Manager
Education (if blank, degree and / or field of study not specified)
Degrees / Field of Study required : Degrees / Field of Study preferred :
Certifications (if blank, certifications not specified)
Desired Languages (If blank, desired languages not specified)
Up to 20%
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date