Head of enterprise data model / data architect Job at AND Digital (Manchester)

Head of Enterprise Data Model / Data Architect

We are recruiting for a Head of Enterprise Data Model for a 6-12 Month Fixed Ter...

Location

United Kingdom , Manchester; Northwich

Salary:

Not provided

AND Digital

Expiration Date

Until further notice

Requirements

Proven experience in enterprise data modelling, data architecture, or information management
Strong understanding of modelling techniques (e.g., ER, dimensional, canonical), metadata, and governance
Proven hands-on experience of working with SAP S4 Data model, for integration and alignment
Familiarity with modern data platforms and cloud-native architectures
Demonstrated leadership of domain-specific data teams or functions
Experience managing external delivery partners in a hybrid operating model
Excellent stakeholder engagement and communication skills
Bachelor's or master’s degree in computer science, Information Systems, or related field

What we offer

26 days holiday allowance + bank holidays
Flexible bank holidays
12 ‘Wonder, Share, Delight’ days per year which can be used for upskilling, volunteering, personal well being
Annual budget for training and upskilling
Share scheme
A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan
Private medical insurance
6% employer pension contribution, when you contribute 2%

Fulltime

Head of Enterprise Data & Analytics

The Head of Enterprise Data Management & Analytics is a senior leadership role r...

Location

United States , San Jose

Salary:

219000.00 - 300000.00 USD / Year

Archer Aviation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred)
10+ years of experience in data management, analytics, or related roles, with increasing leadership responsibility
Proven experience leading teams of data architects and/or data scientists
Strong expertise in enterprise data architecture, data warehousing, and analytics platforms (cloud-based preferred)
Experience establishing data governance and quality frameworks in a regulated or public company environment
Ability to operate effectively in a fast-paced, high-growth setting
Familiarity with SOX, financial reporting data requirements, and audit support
Hands-on experience with modern data stacks (e.g., cloud data warehouses, BI tools, orchestration frameworks)
Demonstrated success scaling data capabilities alongside rapid business growth
Excellent written and verbal communication skills

Job Responsibility

Define and execute the enterprise data management and analytics strategy aligned with business objectives and growth plans
Serve as the senior leader for enterprise data architecture, data governance & privacy, analytics, and data science capabilities
Establish operating models, standards, and best practices suitable for a growing public company
Build, lead, and mentor a high-performing team of data architects and data scientists
Own the enterprise data architecture, including data models, integration patterns, and analytics platforms
Ensure scalable, secure, and reliable data pipelines across internal and external data sources
Partner with engineering and IT teams on cloud data platforms, tooling, and technology roadmaps
Drive simplification and modernization of data systems as the company scales
Establish and oversee enterprise data governance, including data ownership, stewardship, metadata, and lineage
Ensure data quality, consistency, and integrity across enterprise systems

What we offer

Equal-opportunity employer committed to creating a diverse and inclusive workplace
Reasonable accommodations for applicants with physical or mental disabilities, and those with sincerely held religious beliefs

Fulltime

Head of Data

Join a company that is pushing the boundaries of what is possible. We are renown...

Location

Malaysia , Selangor Darul Ehsan, Selangor

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science or related field
MBA or equivalent business qualification preferred
10-15 years of experience in Data & Analytics within a System Integrator or consulting environment
Proven experience leading both presales and delivery functions
Demonstrated ownership of medium to large scale transformation programs
Strong experience across Enterprise data architecture, Data governance frameworks, Data integration patterns (ETL/ELT, CDC, streaming), BI and analytics modernization
Experience with SaaS-based data platforms (Snowflake, Databricks, Informatica, etc.)
Experience managing P&L and margin accountability
Strong working knowledge of Data warehousing and lakehouse architectures, Data governance and metadata management, Master data management, Data quality frameworks, ETL/ELT tools (Talend, Informatica, etc.), BI tools (Tableau, Power BI, Qlik), DataOps and analytics lifecycle management
Executive presence and client-facing credibility

Job Responsibility

Define and execute the Data presales and delivery strategy aligned with corporate objectives
Build and scale a high-performing Data team across architecture, consulting, engineering, and project management
Develop repeatable industry-specific and cross-industry offerings in Data modernization, Data governance frameworks, Enterprise data platforms, BI modernization, Advanced analytics solutions
Establish best practices, methodologies, accelerators, and reusable assets
Drive capability maturity across selected SaaS data platforms
Lead complex presales engagements, RFP/RFI responses, and solution defense presentations
Define solution architectures and commercial models that balance competitiveness and profitability
Develop cost models, estimation frameworks, and delivery assumptions for fixed-price and managed services engagements
Collaborate closely with Sales to identify and qualify opportunities, shape client requirements, and position differentiated value propositions
Act as executive sponsor during pursuit cycles and client workshops

Fulltime

Head of Data Engineering

Radix is revolutionizing how the multifamily world makes decisions. From investm...

Location

United States , Scottsdale

Salary:

Not provided

Radix (AZ)

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, analytics engineering, or closely related disciplines operating production grade data systems at scale
Deep expertise with Databricks or comparable modern data platforms including Spark optimization, orchestration, governance, Unity Catalog or equivalent tooling, and cluster management
Strong experience with dbt including advanced modeling patterns, semantic layers, MetricFlow, testing strategies, and analytics engineering best practices
Hands on experience building pipelines from MongoDB, PostgreSQL, and third party APIs with a deep understanding of source system behavior, data modeling, and reliability concerns
Strong proficiency in Python for pipeline engineering, transformation logic, automation, and developer tooling
Experience with modern open table and columnar storage formats including Delta Lake, Apache Iceberg, and Parquet
Strong AWS knowledge across services that support modern data infrastructure including S3, Glue, Lambda, IAM, VPC, and compute services
Infrastructure as code mindset with Terraform or comparable tooling alongside experience implementing CI/CD, automated testing, deployment workflows, and safe release practices for data platforms
Familiarity with orchestration, observability, and data quality tooling including Airflow, Dagster, Great Expectations, Soda, Monte Carlo, or similar platforms
Understanding of both batch and streaming data patterns including awareness of technologies such as Kafka and Kinesis

Job Responsibility

Lead, coach, and grow a high performing team of data engineers while remaining deeply hands on in architecture, development, and operational excellence
Own the architecture, scalability, governance, cost optimization, and operational health of the Radix data platform built on Databricks and AWS
Design, build, and maintain reliable ETL and ELT pipelines that transform data from MongoDB, PostgreSQL, APIs, and additional source systems into trusted analytics ready models
Define and enforce data contracts, modeling standards, testing coverage, schema expectations, and quality practices that create trust and consistency across analytics, product, and AI systems
Own and evolve the dbt environment including project architecture, semantic definitions, modeling conventions, MetricFlow strategy, documentation standards, and analytics engineering best practices
Build and scale the semantic layer that powers Radix AI products, enabling conversational data experiences, natural language query capabilities, and trusted LLM consumption
Architect and manage the MCP based data exposure layer that governs how AI agents access, retrieve, and interact with enterprise data safely and reliably
Establish production grade observability across pipelines and workflows including lineage, monitoring, anomaly detection, alerting, operational runbooks, and incident prevention practices
Drive infrastructure as code and CI/CD best practices across the data ecosystem using Terraform, automated testing, deployment gates, rollback strategies, and deployment automation
Evaluate emerging AI, semantic layer, and analytics tooling while making principled build versus buy decisions that support long term scalability, developer productivity, and platform maturity

What we offer

Medical, dental and vision coverage designed to support your wellbeing
Uncapped Paid Time Off
Pre-IPO Equity
Performance Bonus
Learn From the Best
Build Category-Defining Products

Fulltime

Head of Data Platform

As the Head of Data Platform, you’ll be responsible for laying the foundation fo...

Location

United States

Salary:

213000.00 - 251000.00 USD / Year

Vanta

Expiration Date

Until further notice

Requirements

12+ years working with data
5+ years architecting and operating Snowflake at scale
2+ years of hands‑on software engineering experience
Demonstrated expertise in data storage strategies, CDC pipelines, database & BI architecture, and modern data orchestration patterns
Proven success building secure, privacy‑aware, compliant data platforms (SOC 2, HIPAA, ISO 27001
FedRAMP experience a major plus)
4+ years Experience managing, mentoring and developing data engineers and analytics engineers
comfortable managing a 5-6 person team with multiple functions (ingestion / bi) with plans to scale
System‑oriented mindset— you automate, abstract, and write maintainable, tested code
Hands‑on proficiency with the modern data stack: Snowflake, dbt, Airflow/Dagster, Fivetran/Stitch, Looker/Mode/Sigma

Job Responsibility

Roadmap and evolve the architecture of Vanta’s Snowflake‑based data warehouse, ensuring it scales to support real‑time analytics, zero‑trust principles, and FedRAMP‑capable compliance requirements
Hire, train, and develop a world‑class team of data engineers and analytics engineers, providing hands-on mentorship and creating a culture of excellence and continuous learning. Establish the two respective functions as a collaborative set of teams
Champion a security, compliance, and privacy‑first mindset across data ingestion, storage, transformation, access, and observability
Deliver a “zero‑trust” data warehouse by implementing role‑based access controls, column‑level encryption, detailed audit logging, and automated policy enforcement
Collaborate with AI, Strategic Finance, Revenue Operations, Data Science, Product Analytics, and Engineering to translate business objectives into a prioritized, measurable data platform roadmap
Own buy‑versus‑build decisions for the data stack
evaluate vendors, negotiate contracts with procurement, and integrate best‑in‑class solutions where they accelerate our mission. Hold and measure your platform decisions to a high data platform ROI solution
Be Vanta’s authoritative voice on dbt, change‑data‑capture (CDC), data orchestration patterns (Airflow/Dagster), and high‑performance database design
Oversee the Architecture to Design and implement complex data models, metadata layers, reports, and dashboards that power internal decision‑making and customer‑facing analytics
Develop front‑end applications and APIs that expose curated analytical data sets across the enterprise

What we offer

Offers Equity
medical benefits
401(k) plan
other company perk programs
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks fully-paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Commuter benefits for team members who report to the SF and NYC office
Family planning benefits

Fulltime

New

Head Of Intelligence Products

ELEKS is looking for a Head of Intelligence Products in the United States. Our c...

Location

United States

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

10+ years of experience in Data Engineering, Data Architecture, Platform Engineering, or related leadership roles
Proven experience building and scaling modern cloud-based data platforms in enterprise environments
Strong expertise with Snowflake, lakehouse architectures, graph databases, vector databases, and modern data platforms
Deep understanding of knowledge graphs, ontology design, semantic modeling, metadata management, and enterprise data architecture
Experience building AI-ready data platforms supporting LLMs, Retrieval-Augmented Generation (RAG), vector search, and AI applications
Experience designing enterprise APIs, developer platforms, and data products for external customers
Strong knowledge of data governance, lineage, privacy, security, and enterprise access control
Experience defining enterprise data strategy and leading architecture decisions
Hands-on experience with modern ETL/ELT pipelines, orchestration frameworks, and production data services
Experience working with cross-functional Product, Engineering, AI, and Commercial teams

Job Responsibility

Define and lead the enterprise intelligence product strategy, architecture, and operating model
Drive the evolution of a modern enterprise data platform supporting AI, analytics, and commercial data products
Design scalable data architecture, semantic models, and knowledge graph capabilities
Define enterprise ontology, metadata, governance, and interoperability standards
Lead the development of AI-ready data services, APIs, and developer-facing platforms
Define architecture supporting structured, semi-structured, and unstructured data at scale
Partner with Engineering, AI, Product, and Commercial teams to transform data assets into reusable intelligence products
Establish standards for data quality, lineage, provenance, security, and lifecycle management
Define commercialization requirements for enterprise data products, including APIs, licensing models, access control, SLAs, and observability
Evaluate and recommend technologies across cloud data platforms, graph databases, vector stores, orchestration, and AI infrastructure

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

New

Head of GTM Enablement (Field & Partner)

Reporting directly to the VP of RevOps, the Head of GTM Enablement will architec...

Location

United States

Salary:

221000.00 - 304000.00 USD / Year

Wiz

Expiration Date

September 01, 2026

Requirements

Proven track record of scaling an enablement or GTM strategy function through periods of significant organizational growth within enterprise B2B SaaS
Demonstrated ability to guide large field organizations through complex messaging, product portfolio expansions, or business process shifts
Extensive experience leading distributed global teams across central, regional, and partner-facing functions
Deep, practical expertise scaling enterprise sales methodologies (e.g., MEDDPICC) and leveraging AI/automation to scale knowledge delivery
A leader who prioritizes tangible business outcomes—such as ramp velocity, field qualification, and play adoption—over traditional vanity metrics

Job Responsibility

Drive Change Management: Architect and execute robust change strategies to land new sales motions, messaging standards, and methodologies across a fast-evolving global field force
Scale the GTM Infrastructure: Build the enablement infrastructure necessary to support rapid field expansion, ensuring onboarding velocity keeps pace with corporate growth investments
Agile Operating Model: Establish a rapid, sprint-based execution cadence capable of deploying targeted messaging updates at the speed of product innovation
Codify the Playbook: Embed enterprise qualification frameworks (such as MEDDPICC) and core sales processes directly into discovery templates and deal-review scripts
Enforce Success Gates: Establish clear, binary proficiency gates for onboarding and ongoing readiness to ensure reps are fully certified to execute the core narrative
Bite-Sized AI Delivery: Partner with Product and Engineering to integrate our sales plays directly into our internal AI tools, shifting from long-form training to snackable, just-in-time learning
Regional & Segment Delivery: Oversee global field enablement resources to ensure frameworks are contextualized for local markets, the business development organization, and specialized sectors
Safeguard Partner Scaling: Support and maintain our standalone partner enablement engine to independently scale cloud provider relationships and channel certifications
Frontline Manager Coaching: Build data-driven coaching workflows that turn frontline managers into elite coaching experts capable of enforcing sales plays

What we offer

Equity
Base salary + bonus
Learn more about benefits at Google

Fulltime

Head of Product Delivery

Automata is transforming the way labs work with open, integrated automation. Our...

Location

United Kingdom , London

Salary:

160000.00 - 180000.00 GBP / Year

Automata

Expiration Date

Until further notice

Requirements

13–18 years of experience across product delivery, programme leadership, or operational roles in high-performance environments
Strong understanding of how Product, Engineering, Design, Data & AI functions operate—and how to align them at pace
Experience operating in environments that demand both speed and quality (scale-ups, top-tier tech, or product driven enterprise transformation)
Deep working knowledge of Agile, Lean, Waterfall, and hybrid models—with the pragmatism to apply what works, not what's 'pure', 'trendy', or 'new'
Proven experience driving automation, AI-native ways of working, or meaningful step-changes in delivery performance
Background in Engineering, Product, or similarly rigorous problem-solving environments preferred
London-based, with 3 days per week in-office (near Angel station)
Thrive in a high-performance, fast-scaling environment with high expectations and low tolerance for drag
Able to introduce structure that accelerates teams - not slows them down

Job Responsibility

Own end-to-end delivery across Product, Engineering, Design, Data & AI (PEDDAI) - turning strategy into fast, predictable, high-quality execution
Operate as the single point of accountability for delivery - bringing clarity, pace, and discipline across an otherwise complex system
Partner with PEDDAI, Customer Success, and Sales leadership to align releases with commercial impact and timelines
Build, lead, and level-up a high-performing product delivery function that reports to you - hiring, coaching, and setting an uncompromising bar for execution
Architect and continuously evolve operating systems that scale - eliminating bottlenecks, increasing velocity, and enabling teams to move autonomously
Drive a true continuous delivery model - frequent, reliable releases with strong communication and measurable impact
Embed AI-native and automation-first ways of working - unlocking step-change improvements in productivity and throughput
Bridge strategy and execution - ensuring we build what we defined
that what we build, ships
and what we ship, delivers results

What we offer

Vitality Health Insurance
Eye Care
Salary Sacrifice - EV
Salary Sacrifice - Bike & Tech
Wellbeing & Support
Wellbeing & Development Allowance
Spill & Employee Assistance Programme
Additional Leave
Pension Scheme
Group Life & Critical Illness cover

Fulltime

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Head of enterprise data model / data architect

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Head of enterprise data model / data architect

Head of Enterprise Data Model / Data Architect

Head of Enterprise Data & Analytics

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Head of Data Engineering

Head of Data Platform

Head Of Intelligence Products

Head of GTM Enablement (Field & Partner)

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