Quantexa Senior Manager
KPMG · Aberdeen, Scotland ·
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Overview
In this role, you will lead Quantexa-driven data solutions, guiding architecture, design, and end-to-end implementation for clients. You will work closely with client stakeholders, delivery teams, and business SMEs to ensure successful delivery within a fast-growing Data & AI practice. You’ll shape solutions that leverage entity resolution, network generation, and contextual analytics at scale. This position offers impact through leading technical delivery, mentoring teams, and advancing Quantexa-enabled capabilities across client ecosystems.
Responsibilities
- Lead full lifecycle Quantexa implementations from requirements to production deployment
- Own use-case specific Quantexa configurations including data ingestion, entity resolution, scoring, and network generation
- Serve as the primary technical interface between client stakeholders and the delivery team
- Facilitate workshops to gather requirements and translate them into Quantexa design artifacts
- Support agile delivery across multiple pods/use cases and groom the backlog
- Perform technical code reviews and ensure adherence to best practices
- Mentor development teams in Quantexa data modelling, scoring logic, and performance tuning
- Collaborate with architects and data engineers to integrate Quantexa into broader Big Data ecosystems
- Communicate complex technical solutions clearly to technical and non-technical audiences
Key requirements
- Quantexa Technical Certification is mandatory
- Proven end-to-end Quantexa SDLC implementations (design, build, test, deploy)
- Deep understanding of Quantexa components: Entity Resolution, Scoring Framework, Contextual Network Generation, UI Configuration
- Strong background in Big Data: Scala, Apache Spark, Hadoop, ElasticSearch
- Experience with data modelling in large-scale analytics platforms
- Strong stakeholder management and communication skills
- Ability to produce and present technical design artifacts aligned to Quantexa architecture
- Knowledge of cloud platforms: AWS, Azure, or Google Cloud Platform (GCP)
- Stakeholder management and communication
- Mentoring and team leadership
- Collaborative approach with cross-functional teams
- Quantexa architecture and components
- Entity Resolution (ER)
- Scoring Framework
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