Head of Data Analytics & AI Job at TRIA (London)

D&T Head of Data, BI & Analytics

The Head of Data Sciences, Analytics, AI, and BI is a senior strategic and opera...

Location

Salary:

Not provided

Aramex

Expiration Date

Until further notice

Requirements

Leadership Behaviors: Collaborate & break silos
Execution & Accountability
Growth mindset
Innovation

Job Responsibility

Develop and communicate a long-term vision and strategy for Data Sciences, Analytics, AI, and BI, aligned with Aramex’s business strategy and growth objectives.
Drive innovation in analytics and AI, exploring emerging technologies, algorithms and methodologies to enhance business decision-making and operational efficiency.
Proactively engage business stakeholders to understand complex requirements, desired outcomes, and strategic priorities.
Design and deliver fit-for-purpose analytics and AI solutions that optimize operations, improve customer satisfaction, and drive revenue.
Use insights from customer feedback, usage analytics, and emerging trends to identify continuous improvement opportunities.
Own end to end operations of enterprise analytics platforms, including GCP-based ecosystems (BigQuery, Dataflow, Pub/Sub, Looker) and legacy BI systems (SQL Server, Oracle BI, ETL pipelines).
Ensure platform stability, performance, security and compliance through robust ITIL-aligned processes (incident, problem, change, release management).
Define and maintain SLAs, SLOs, and operational KPIs for uptime, pipeline reliability, cost efficiency, and user satisfaction.
Lead post-project operationalization, including service acceptance, monitoring, and continuous improvement loops.
Lead and mentor a high performing team of data scientists, AI engineers, BI analysts, and data operations engineers.

Head of Quality – Customer Reporting and Data Analytics

As Head of Quality – Customer Reporting and Data Analytics, your primary goal wi...

Location

United States , Miami, FL / Boston

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

10+ years of experience in data analytics, business intelligence, or data product management
At least 3 years in a leadership or head-of-function role
Proven experience delivering data or analytics products to enterprise customers, ideally in retail, AI, or SaaS environments
Deep understanding of data quality frameworks, reporting pipelines, and analytics visualization platforms (e.g., Tableau, Power BI, Looker, or similar)
Strong familiarity with data engineering workflows (ETL, data modeling, API integrations)
Experience leading cross-functional collaboration across product, engineering, and commercial teams
Exceptional analytical, strategic thinking, and communication skills
Knowledge of retail operations, shrinkage, and loss prevention analytics
Proven ability to build scalable reporting and analytics products from concept to market

Job Responsibility

Build and own the Customer Intelligence Product Line that delivers actionable insights derived from Everseen’s AI platform and integrated third-party data sources
Define and maintain data quality and reporting standards to ensure reliable, consistent, and accurate insights for all customer-facing analytics products
Collaborate cross-functionally with the Data & Intelligence, Engineering, Research, Operations, and Sales & Marketing teams
Champion quality and continuous improvement, ensuring data integrity, performance consistency, and adherence to regulatory or contractual data standards
Develop and manage KPIs for intelligence product adoption, customer satisfaction, and product quality
Partner with Sales and Customer Success to translate intelligence insights into customer value stories and revenue opportunities
Lead a small but growing team of data quality analysts, reporting specialists, and data product managers as the product line scales

Fulltime

Head of Data and AI

As the Head of Data and AI, you will drive innovation by identifying and integra...

Location

Sweden , Stockholm

Salary:

Not provided

DanAds

Expiration Date

Until further notice

Requirements

Proven experience building and leading centralized Data/AI teams, including data engineering, data science, and MLOps functions
5+ years of experience deploying ML models into production on AWS (SageMaker, MLOps pipelines)
Experience deploying AI-powered features into customer-facing SaaS platforms
Proven expertise in exposing ML inference via scalable, low-latency REST APIs
Strong background designing and managing high-volume data pipelines (e.g., Kinesis, Kafka, Spark) for feature engineering
Experience implementing model monitoring, drift detection, and XAI frameworks, including establishing an AI governance framework
Advanced degree (MS/PhD) in Computer Science, Statistics, or a quantitative field
Demonstrated ability to translate AI capabilities into product strategy
Deep understanding of data security, PII handling, and privacy-by-design (GDPR, CCPA, SOC2) as applied to ML systems

Job Responsibility

Design, train, and deploy production-grade ML models (using AWS SageMaker, Bedrock, Comprehend) for predictive analytics, anomaly detection, recommendation engines, and automation
Own the entire ML model lifecycle, from training and versioning to secure, low-latency deployment on AWS
Define and implement a company-wide data strategy, including governance, quality, lineage, and access control
Partner with the Domain Expert to formalize AI-driven rules within the BRD
Implement robust monitoring for model drift, bias, and performance
Develop and expose "explainability" endpoints for critical AI decisions
Work with the Platform Back-End Dev to define data pipelines and API contracts for real-time model inference

What we offer

Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

Head of Data

Join AXA Partners as the Head of Data and play a pivotal role in transforming ou...

Location

United States , Chicago

Salary:

110000.00 - 140000.00 USD / Year

Axa

Expiration Date

Until further notice

Requirements

Master’s degree in business Intelligence with a focus on Big Data
Minimum of 5 years’ experience in a production BI environment, with expertise in data warehousing and analytics projects in large-scale organizations
Proven track record of managing multi-skilled data teams and coordinating stakeholders across various backgrounds
Strong analytical skills, with fluency in core analytics tools and techniques
Excellent project and people management skills, with the ability to turn complex issues into actionable initiatives
A customer-centric mindset, complemented by strong organizational and communication abilities
Experience in Agile methodologies and working within multicultural environments

Job Responsibility

Define and structure the local data strategy in alignment with business objectives
Lead the Local Data Committee and manage a portfolio of initiatives to drive data strategy
Deploy and maintain a comprehensive Data Management framework, ensuring compliance with security, legal, and data privacy standards
Oversee the extraction, modeling, and sharing of data assets to enhance reporting and analytics capabilities
Design, create, and maintain analytical solutions that meet business needs while adhering to established standards
Monitor and promote the business value delivered from data initiatives through effective documentation and communication
Identify and support the upskilling and training of local users on data practices
Manage and mentor a skilled team of Data Managers, Data Engineers, and Data Analysts, fostering a culture of innovation and collaboration

What we offer

Annual Company & Performance based discretionary Bonus up to 15%
20 days Annual Leave (rising to 25 days based on length of service)
8 Paid Company Holidays
Medical, Dental, Vision and Life Insurance
HSA, FSA and HRA available + Employer Contribution
401(k) Pension Plan & Employer match
Paid Parental Leave
Education Reimbursement
Hybrid Work - 2 days in the office per week

Fulltime

Payments Data Transformation Head Director

The Applications Development Senior Group Manager is responsible for accomplishi...

Location

United States , Jersey City

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years experience of application development industry experience, with a minimum of 10 years of hands-on experience specializing in the leadership and hands-on development of franchise-critical applications
10+ years experience leading large technology transformation initiative
8+ experience in large technology development experience
8+ years experience in Big Data Org
5 + years Microservices experience
5+ years hands-on experience in Java, Spring, Spring Boot, Spring Cloud, J2EE Design Patterns, REST services, MicroServices, Docker/Kubernetes, messaging product like Kafka
Deep understanding on design Highly Available and Highly Scalable Systems
Front End Technologies like JavaScript and Angular version, CSS2/CSS3, HTML
Hands-on experience in relational (Oracle/DB2), No-SQL (MongoDB), Unix commands
Hands-on experience on working / deploying application on Cloud

Job Responsibility

Manage/develop multiple teams of technology professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions) as well as ensure team adheres to best practices and process
Develop vision for team around roles and responsibilities, and structure team to ensure greatest impact, efficient use of resource, and alignment to business structures
Prepare and present regular team/project reviews to senior technology management and business leaders
Drive the design and development of system architecture based on latest technology stack, work with end-users of the systems, and enhance the quality of deliverables
Ensure staff follows Citi documented policy and procedures as well as maintain desktop procedures and supporting documentation for filings on a current basis and in comprehensive manner
Work with a wide variety of business and tech teams and help them drive towards an everything-as-code and a codified controls mind-set
Support and drive cultural change, instigating critical thinking about controls and processes and encouraging a culture of continuous improvement
Connected to latest technologies, like Generative AI, and keen to put them in practice
A self-starter with the ability to work effectively in teams and remotely
Shows enthusiasm and develops trust through empathy

What we offer

medical
dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off and paid sick leave
paid holidays

Fulltime

Outside Sales Product Specialist - Data Management

At Dell Technologies, we create the extraordinary. Our Outside Sales Product Spe...

Location

United Kingdom , London

Salary:

Not provided

Dell

Expiration Date

Until further notice

Requirements

5+ years of enterprise sales experience in data management and analytics, ideally with vendors such as Databricks, Snowflake, Denodo, Informatica, Teradata, ScaleAI or similar
Strong understanding of modern data architectures (data warehouses, data lakes, lakehouse models, and vector databases for AI/RAG) at a business and value level
Familiarity with data engineering, analytics, BI, and data science workflows sufficient to sell AI based outcomes and guide customer conversations

Job Responsibility

Proactively identify and solve customer business needs by providing subject matter expertise and creating solutions using Dell’s products and services
Manage relationships with senior level technical personnel and decision makers
Demonstrate the value of a product and/or service technology to advance customer business objectives
Provide insight and thought leadership to customers concerning applicability of highly complex products and services
Act as a technical resource for the sales organization to help meet and exceed their objectives
Develop and execute account strategies aligned to customer data, analytics, and AI transformation initiatives that are focused on Dell’s AI Data Platform Data Engines
Engage senior customer stakeholders, including CIOs, CDOs, CTOs, and Heads of Data, Analytics, and AI
Lead value-based sales conversations that connect measurable business ROI based outcomes to the AI Data Platform
Position competitively and win against incumbent and next-generation data platform providers
Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and conversational AI

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

Enterprise Account Lead

You will own and manage one of NStarX’s most strategic enterprise accounts — inc...

Location

United States

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

15+ years of enterprise account management / sales experience driving $5M–$20M+ annualised revenue in enterprise accounts or portfolios
Proven track record selling complex data / AI / cloud infrastructure / analytics solutions (e.g., involving hyperscalers, data platforms like Databricks or Snowflake, open-source + hybrid or multi-cloud)
Strong technical fluency with cloud platforms (AWS, Azure, GCP), data architectures, and ML / AI workflows — enough to engage credibly with architects, CTOs, and data leaders
Excellent communication and interpersonal skills with both business leaders and technical stakeholders
Experience managing channel or partner ecosystems — orchestration, co-selling, partner enablement
Business-minded thinking: able to craft ROI-driven value propositions, build long-term enterprise relationships, and act as a trusted advisor
Self-starter, entrepreneurial mindset
comfortable working in a fast-growing, agile, evolving organization

Job Responsibility

Build and deepen relationships with key stakeholders (CIO, CTO, Head of Data, Business Unit leaders) at the enterprise account
Understand the customer’s long-term data/AI strategy, business priorities, and internal buying processes
Define a 12–24-month expansion roadmap, including upsell, cross-sell, and new business opportunities
Manage and coordinate all channel/partner relationships associated with the account (e.g., OEM, Hardware Vendors, cloud/hyperscalar partners, data-platform providers, etc.)
Orchestrate joint engagements — including co-selling, co-designing, POCs, pilots, and scaling
Ensure alignment across partners to guarantee seamless delivery and customer satisfaction
Lead the architecture and positioning of multi-component, multi-vendor Data/AI solutions (open source + cloud/hyperscalar + managed data platforms + integrations)
Build compelling business cases and ROI/impact frameworks (e.g., cost savings, revenue uplift, efficiency gains)
Oversee proposal creation, pricing strategy, and contract negotiation
Advise customer leadership on how best to operationalize data, analytics, and AI as a strategic asset

What we offer

A seat at the leadership table: you’ll own strategic accounts and shape long-term business direction
Opportunity to work across bleeding-edge Data + AI + Cloud platforms, and to define solutions beyond “lift-and-shift” — true digital transformation
Lean, high-performing, deeply technical yet business-savvy team culture — combining startup agility with enterprise discipline
Competitive compensation (base + commission / bonus tied to quota attainment) and equity participation, aligned with growth and success
Flexibility — remote-friendly with occasional travel to customer sites or partner offices

Fulltime

Director of Data, ML & AI Engineering

As Director of Data, ML & AI Engineering, you will lead the design, delivery, an...

Location

United Kingdom , London

Salary:

Not provided

Collinson

Expiration Date

Until further notice

Requirements

Senior leadership experience across data, platform, ML, and/or AI engineering in enterprise or federated environments
Deep understanding of modern cloud-native data platforms, large-scale distributed systems, and emerging data technologies
Proven experience delivering and evolving enterprise-scale data and AI platforms from inception to production
Hands-on knowledge of ML/AI operationalisation, including pipelines, lifecycle management, and experimentation frameworks
Demonstrated capability managing cost, risk, security, and compliance at scale
Strong people leadership and team development experience, promoting inclusion, clarity, and accountability
Ability to translate complex technical concepts into business impact with senior stakeholders
A collaborative, adaptive leadership style that encourages openness, trust, and curiosity

Job Responsibility

Lead the design and evolution of enterprise-grade data, ML, and AI engineering platforms, covering ingestion, transformation, feature management, model pipelines, and deployment
Ensure platforms are resilient, scalable, and production-ready to support both analytics and AI workloads
Balance continuous innovation with operational reliability, service continuity, and business value
Lead multiple engineering squads across data, platform, ML, and AI engineering disciplines
Establish clear engineering standards, ownership models, and accountability frameworks
Embed modern delivery practices such as DevOps, DataOps, MLOps, and AIOps to improve reliability and speed
Champion operational excellence, predictable delivery, and effective incident management
Partner with the VP of Analytics and Head of Innovation & AI to align platform capabilities with insight delivery, experimentation, and AI productisation
Provide high-quality, governed, production-ready data products and shared tools that empower analytics and AI teams
Accelerate time to value through automation, reusable patterns, and scalable platform abstractions

Head of Data Analytics & AI

TRIA

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 18, 2026

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