Head Of Intelligence Products Job at ELEKS

Head of Credit Intelligence

Design and maintain the company's end-to-end AI underwriting architecture. Build...

Location

Egypt , New Cairo

Salary:

Not provided

Ethics HR

Expiration Date

Until further notice

Requirements

8-12+ years in credit risk modeling, with proven production deployments
Strong ML background - gradient boosting, neural networks, logistic regression
Experience with alternative and behavioral data sources for credit decisions
Python proficiency and familiarity with ML frameworks (scikit-learn, XGBoost, TensorFlow or similar)
Track record building models for at least one of: personal loans, auto loans, student loans, BNPL, or SME lending
Understanding of model explainability requirements in a regulated environment

Job Responsibility

Design and maintain the company's end-to-end AI underwriting architecture
Build and deploy borrower risk scoring and Probability of Default (PD) models
Lead feature engineering across traditional, behavioral, and alternative data sources
Develop risk-based pricing models tied to borrower risk tiers
Monitor model performance, detect drift, and drive continuous improvement
Partner with Credit Strategy to translate model outputs into lending policies
Collaborate with Data Infrastructure to ensure accurate, production-grade model deployment
Build underwriting capability across car financing, student loans, and personal loans - with SME lending to follow

MD, Head of Artificial Intelligence (AI), Services - Platform & Data Services (PDS)

MD, Head of Artificial Intelligence (AI), Services – Platform & Data Services (P...

Location

United States , New York

Salary:

250000.00 - 500000.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

12+ years in technology, with significant leadership experience in AI/ML, data science, or advanced analytics is desired
Proven track record of defining AI strategy and scaling it across large, complex organizations and delivering production-grade AI/ML solutions with measurable business impact
Deep expertise across machine learning (supervised/unsupervised, deep learning), NLP and conversational AI, and generative AI and emerging architectures
Experience operating in highly matrixed, global environments
Experience in financial services or regulated industries
Advanced degree (Master's or PhD) in a relevant field
Strong understanding of model risk management and regulatory expectations, data governance and enterprise data platforms, and responsible AI frameworks and ethics
Strategic, forward-looking thinker with the ability to connect technology to business value
Proven builder of high-performing, global teams
Exceptional communicator, able to influence at the C-suite and board level

Job Responsibility

Define and lead the AI Transformation Agenda
Industrialize AI Across Platforms and Products
Build a World-Class AI Capability
Drive Measurable Business Value
Establish Responsible AI and Governance at Scale
Influence at the Highest Levels

What we offer

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

Fulltime

Head of Technology, Intelligence Ventures

The Head of Technology serves as the chief technology officer of a new behaviora...

Location

United States , New York

Salary:

263200.00 - 393800.00 USD / Year

Spectrum

Expiration Date

Until further notice

Requirements

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications
comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets
experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment

Job Responsibility

Own the end-to-end technical architecture of the platform — from large-scale network signal ingestion and processing through behavioral embedding generation, feature store construction, and zero-copy intelligence delivery to enterprise partners — ensuring the platform is production-grade, built for household-scale throughput, and designed for long-term extensibility across new signal sources and use cases
Lead the build of the platform’s cloud-native data and application infrastructure — including ingestion and transformation pipelines, ML/AI compute environments, zero-copy partner access frameworks, and a real-time agent-to-agent API layer that enables external AI systems (marketing agents, commerce agents, customer service agents) to query household-level intelligence and receive contextually grounded responses
Serve as the technical lead in strategic partner integrations with cloud, data, and AI platform providers, ensuring each integration is architecturally differentiated and aligned with the platform’s cloud-agnostic, API-first design principles
Architect and deliver a business-facing agentic intelligence interface — a natural language UI that allows non-technical marketers, planners, and business users to query household behavioral intelligence, surface demand signals, and take action without requiring data or engineering support
Build and manage a world-class engineering organization capable of competing for talent with the leading technology and data infrastructure companies

Fulltime

Head of Market Intelligence and Automation

We are looking for a Head of Market Intelligence & Automation to own the discove...

Location

Salary:

Not provided

Ruby Labs

Expiration Date

Until further notice

Requirements

Strong background in market research, market intelligence, or growth research
Hands-on experience with Google SEO and keyword research
Practical experience with Google Keyword Planner and Ahrefs (or similar)
Experience building automated workflows in N8N
Strong competitive research and web analysis skills
Advanced Excel/Google Sheets skills (large datasets, clustering, scoring)
Confident power user of AI tools for research and analysis
High ownership mindset with the ability to work independently

Job Responsibility

Collect, structure, and maintain a complete universe of AI-related keywords
Cluster keywords by utility, intent, and funnel suitability (SEO vs. paid)
Translate keyword clusters into SEO plans and paid funnel opportunities
Research and categorize AI tools, use cases, and market segments
Perform competitive analysis across discovered AI categories
Research and maintain maps of AI-focused media outlets, publications, and influencers
Track competitor PR coverage, launches, and influencer activity
Build and maintain automated market-monitoring workflows in N8N
Replace manual research with automated discovery and monitoring systems
Use AI tools (ChatGPT Deep Research, Claude, Manus, etc.) to accelerate research

What we offer

Remote Work Environment
Unlimited PTO
Paid National Holidays
Company-provided MacBook
Flexible Independent Contractor Agreement

Fulltime

Head of Business Intelligence

Blockchain.com is connecting the world to the future of finance. As the most tru...

Location

United Kingdom , London

Salary:

Not provided

Blockchain

Expiration Date

Until further notice

Requirements

Experience in fintech, trading, crypto, or risk/compliance data domains
Proven experience leading BI / Analytics / Reporting teams, ideally in high-growth environments
Strong stakeholder management and communication skills, including the ability to translate complex data into clear business narratives
Experience with team building, performance management, mentorship, and talent development
Strong analytical mindset with the ability to identify and solve complex business problems through data
Deep understanding of KPI design, reporting frameworks, metric governance, and dashboard best practices
Strong proficiency in SQL, Python, BigQuery and Google Cloud Environments and a strong understanding of data modeling concepts
Strong project management capability: scoping, planning, prioritization, execution, and delivery
Proactive approach to addressing challenges and finding innovative solutions
Experience with modern BI tooling and semantic layers (e.g., Looker, Tableau, PowerBI, dbt metrics layers, etc.)

Job Responsibility

Lead and inspire a team of BI / data analysts, fostering a culture of collaboration, ownership, and continuous improvement
Mentor and coach team members, supporting professional growth, skill development, and career progression
Recruit, develop, and retain top BI talent
set clear performance expectations and provide ongoing feedback
Own the company’s reporting strategy and execution, ensuring business-critical metrics and dashboards are accurate, consistent, and trusted
Define and maintain core KPI frameworks, metric definitions, reporting standards, and governance (single source of truth)
Deliver executive-level reporting and key insights that guide strategic decisions, growth, efficiency, and risk management
Partner with leaders across Product, Growth, Trading, Fraud, Finance, and Operations to understand needs and translate them into scalable reporting solutions
Collaborate closely with the Data Engineering team to define requirements and priorities, ensure data quality and accessibility, improve data models and semantic layers for reporting
Drive alignment across teams on reporting definitions, tooling adoption, and analytics best practices

What we offer

Full-time salary based on experience and meaningful equity in an industry-leading company
Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year
ClassPass
Budgets for learning & professional development
Unlimited vacation policy
work hard and take time when you need it
Apple equipment
The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field
Flexible work culture

Fulltime

Head of AI Data Science, Intelligence Ventures

The Head of AI Data Science serves as the head of AI research and leader of data...

Location

United States , New York

Salary:

263200.00 - 393800.00 USD / Year

Spectrum

Expiration Date

Until further notice

Requirements

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks
experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners
comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams
experience recruiting and developing senior ML talent in competitive markets

Job Responsibility

Direct the research, design, and training of the platform's proprietary transformer-based behavioral embedding model — a multi-entity architecture that encodes household behavior across multiple signal sources into dense, privacy-safe vector representations. Own the full model development lifecycle from architecture decisions and training methodology through validation, deployment, and ongoing iteration as new signal sources and use cases are introduced
Lead the design and build of the platform's Feature Store — translating embedding representations into interpretable, actionable behavioral signals including purchase propensities, category interest intensities, lifestyle affinities, and behavior velocity signals. Oversee the outcome anchoring methodology that trains predictive models against external third-party datasets to produce validated, commercially relevant intelligence outputs across target verticals
Partner with the Head of Technology and external development partners to ensure the AI/ML architecture is production-grade, built for household-scale throughput, and integrated cleanly into the platform's cloud-native infrastructure. Establish model evaluation frameworks, quality benchmarks, and MLOps practices that enforce a strong bias toward production-deployed, commercially validated outputs — not just research-quality results
Serve as the platform's primary AI research voice in external partner conversations — including technical engagements with cloud AI platforms, frontier model teams, and enterprise data partners — articulating the platform's embedding architecture, signal differentiation, and model enrichment value proposition to sophisticated technical counterparts. Contribute to the development of packaged intelligence products such as behavioral demand indices, persona clusters, and predictive propensity scores
Establish the platform's responsible AI framework — including bias testing protocols for behavioral embeddings, model documentation standards, and privacy-preserving ML techniques — ensuring all intelligence products meet ethical and regulatory standards for consumer behavioral data
Build and lead a team of data scientists and ML researchers capable of competing with talent from the world's leading AI research and applied ML organizations. Establish the team's research agenda, hiring priorities, and culture of rigorous experimentation — maintaining a clear bias toward applied, production-oriented work while preserving the intellectual ambition required to stay ahead of a rapidly evolving AI landscape

Fulltime

New

Head of Go To Market

The Head of Go-to-Market (Europe) is responsible for developing and executing th...

Location

United Kingdom , Coventry

Salary:

Not provided

Lotus UK Manufacturing

Expiration Date

July 03, 2026

Requirements

Bachelor's degree or above in Marketing, Business Administration, Automotive Engineering, Electronics, Computer Science, or a related discipline
MBA or equivalent business qualification is preferred
Extensive experience within the automotive industry
Previous leadership experience in Go-to-Market, Product Marketing, Product Strategy, Commercial Operations, or related functions within an automotive OEM, preferably in the EV sector
Proven track record of successfully launching multiple vehicle programs and driving commercial growth in European markets
Experience managing cross-functional teams and influencing senior stakeholders in a global organization
Strong strategic thinking and business acumen with the ability to connect market opportunities to commercial outcomes
Deep understanding of the European automotive and new energy vehicle landscape
Strong analytical skills with experience using data-driven insights to support decision-making
Excellent leadership, stakeholder management, and organizational influence skills

Job Responsibility

Lead Regional Go-to-Market Strategy
Own Commercial Performance and Business Results
Build Market Intelligence and Product Strategy Capabilities
Lead Cross-Functional Business Alignment
Establish and Optimize GTM Governance
Drive Localization and Market Competitiveness
Build and Lead a High-Performing Team
Executive Reporting and Strategic Advisory

What we offer

25 days’ holiday plus bank holidays
Pension scheme access
Annual bonus - non contractual
Private Healthcare
Access to the Employee Car Ownership Scheme
Group income protection based on length of service
Family Friendly policies
Exclusive Employee discount, wellbeing and recognition platform #ForUSLOT

Fulltime

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New

Head of Gaming Growth

The Head of Gaming Growth is accountable for setting and leading the category ma...

Location

United Kingdom , Manchester

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Significant senior-level experience in category management, commercial marketing, or performance marketing with Industry experience
Proven track record of delivering growth, category performance, and commercial targets
Strong experience leading multi-channel marketing, promotional, and campaign strategies
Experience working cross-functionally with Product, CRM, Brand, Data, and commercial teams
Strong commercial acumen and strategic leadership capability
Deep understanding of category planning, customer behaviour, and marketing effectiveness
Data-driven with strong analytical and decision-making skills
Ability to influence at executive level and align stakeholders around a common strategy
Proven ability to lead teams, manage complexity, and deliver at pace

Job Responsibility

Own & Define the category marketing strategy in line with wider business and commercial objectives
Own the development of the category roadmap and activity calendar, ensuring plans maximise key commercial opportunities
Set category priorities across products, propositions, offers, events, and campaigns
Ensure strong alignment between marketing, trading, product, and commercial teams so category priorities are consistently understood and delivered
Drive delivery of key category marketing KPIs, including FTD, retention, turnover, engagement, promotional efficiency, and customer value through strong collaboration with internal teams
Own category budget allocation, balancing priorities across channels, products, and initiatives
Own performance tracking and reporting across key commercial and marketing KPIs providing insight, and recommendations to leadership on category performance, opportunities, and risks
Identify and unlock new opportunities for growth through event activation and promotional innovation
Lead the category promotional and proposition strategy, including acquisition offers, and event-led promotions
Ensure promotional plans support both short-term performance and long-term customer profitability

What we offer

Bonuses, incentives, retail discount vouchers and more
Monthly pension contributions
Enhanced maternity & paternity pay
A long-service recognition programme and life milestone rewards
A recognition scheme to earn and convert points to spend with over 700 retailers
A comprehensive financial wellbeing package including salary-based savings with a 5% boost, early access to earnings and free 121 financial coaching
Mental health support including an independent Employee Assistance Programme, a 24/7 virtual GP service and complimentary eye tests
Access to further training and development opportunities

Fulltime

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Head Of Intelligence Products

Job Description

Job Responsibility

Requirements

What we offer

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