Senior Manager - Data, AI and Cloud Architecture Job at Vodafone (London)

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.

Job Responsibility

Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
Ensure all solutions meet defined quality standards and acceptance criteria
Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
Prepare materials for management briefings and public events
Represent the team in technical discussions, particularly regarding architecture and platform capabilities.

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
Career development and digital learning programs to international career mobility
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.

Fulltime

Senior Engineering Manager - AI

We are seeking a Senior Engineering Manager (Level 5) to lead a high-performing ...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

15+ years of professional experience in software engineering
At least 4+ years in engineering leadership roles
Strong technical background in AI/ML systems, large-scale data pipelines, and cloud-native platforms
Hands-on experience with Python (preferred), modern ML frameworks (PyTorch/TensorFlow), and cloud services (AWS)
Proven success in managing teams of 4–6 engineers, scaling processes, and building diverse, high-performance teams
Strong architectural design and system-thinking abilities
Excellent communication skills with ability to influence cross-functional stakeholders
Passion for sustainability, decarbonization, and using technology to create positive climate impact
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Lead and grow a team of engineers focused on building AI-driven and data-intensive systems for the Arcadia platform
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
Balance management responsibilities (hiring, coaching, performance reviews, career growth) with technical leadership (architecture, system design, technical strategy)
Drive end-to-end delivery of complex projects in partnership with Product, Data, and Infrastructure teams
Guide the adoption of modern AI/ML technologies, ensuring practical, scalable use in production
Foster a culture of high performance, ownership, and technical excellence
Establish engineering best practices in testing, observability, reliability, and CI/CD
Partner with leadership to define roadmaps, set priorities, and align execution with Arcadia’s strategic goals
Represent AI across the company, articulating technical trade-offs and championing innovation

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

Principal Consulting AI / Data Engineer

As a Principal Consulting AI / Data Engineer, you will design, build, and optimi...

Location

Australia , Sydney

Salary:

Not provided

DyFlex Solutions

Expiration Date

Until further notice

Requirements

Proven expertise in delivering enterprise-grade data engineering and AI solutions in production environments
Strong proficiency in Python and SQL, plus experience with Spark, Airflow, dbt, Kafka, or Flink
Experience with cloud platforms (AWS, Azure, or GCP) and Databricks
Ability to confidently communicate and present at C-suite level, simplifying technical concepts into business impact
Track record of engaging senior executives and influencing strategic decisions
Strong consulting and stakeholder management skills with client-facing experience
Background in MLOps, ML pipelines, or AI solution delivery highly regarded
Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Job Responsibility

Design, build, and maintain scalable data and AI solutions using Databricks, cloud platforms, and modern frameworks
Lead solution architecture discussions with clients, ensuring alignment of technical delivery with business strategy
Present to and influence executive-level stakeholders, including boards, C-suite, and senior directors
Translate highly technical solutions into clear business value propositions for non-technical audiences
Mentor and guide teams of engineers and consultants to deliver high-quality solutions
Champion best practices across data engineering, MLOps, and cloud delivery
Build DyFlex’s reputation as a trusted partner in Data & AI through thought leadership and client advocacy

What we offer

Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
A flexible and supportive work environment including work from home
Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
Structured career advancement pathways with opportunities to lead large-scale client programs
Exposure to diverse industries and client environments, including executive-level engagement

Fulltime

Senior Principal Product Manager

This role involves managing various AI/ML Data Center projects and automated sol...

Location

United States , Sunnyvale

Salary:

161500.00 - 370500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Demonstrated the ability to influence engineering development, System Test teams, and Sales Engineering teams in the area of DC networking
Demonstrated the ability to influence customer network architectures
Solid understanding of EVPN-VXLAN, IP Fabric solutions for AI Data Centers, Enterprise, and Cloud Data Centers
Executive-level partnerships and effective communication skills with all levels of employees, individual contributors, customers, and account teams
Superior planning, organizational, change management, and cultural awareness skills including financial and global business acumen can be an advantage
12 to 18 years of experience in the DC/networking industry
5+ years of experience in product management (alternately, background in sales engineering, network engineering, technical marketing engineering, hardware engineering, or software engineering with strong product instincts)
Strong communication and listening skills to enable transformational change in a positive work environment internally while maintaining strong partnerships with a diverse customer base
Traveling up to 10% of the time is possible

Job Responsibility

Drive requirements for the DC software portfolio of HPE-Juniper’s AI and Automated Datacenter solutions
Assist with the market and competitive analysis, product strategy, pricing, positioning, and collateral
Evangelize/Innovate the SW features/Solutions both internally and externally
Product liaison for technology partnerships
Responsible for helping achieve quarterly forecasts in collaboration with GTM teams
Actively build and nurture customer and partner engagement and relationships

What we offer

Comprehensive suite of benefits
Personal and professional development programs
Unconditional inclusion
Flexibility to manage work and personal needs

Fulltime

Senior Governance Program Manager

We are seeking an experienced Senior Governance Program Manager to lead and enha...

Location

United States , San Francisco

Salary:

116100.00 - 186500.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor's degree in Business Administration, Information Technology, Governance, or a related field
A Master's degree or relevant experience with certifications (e.g., PMP, CISM, CGEIT, AWS Certified Solutions Architect) are preferred
A minimum of 10 years of experience in governance program management or a related role, with a proven track record in establishing governance structures
Strong expertise in policy lifecycle management and the creation of RACI matrices
Experience in designing and implementing policy exception management workflows
Demonstrated exposure to cloud technologies, AI, and emerging technology architecture
Proficient in defining and analyzing KPIs and metrics, with the ability to translate data into actionable insights
Excellent communication and presentation skills, with the ability to engage and influence senior leadership

Job Responsibility

Lead the formation and execution of steering committee structures to ensure strategic alignment and governance oversight
Facilitate regular meetings and communications with committee members to drive governance initiatives
Develop and document clear roles and responsibilities using RACI (Responsible, Accountable, Consulted, Informed) matrices to ensure accountability and clarity in governance processes
Ensure alignment of roles with organizational goals and governance objectives
Oversee the end-to-end lifecycle of policies, from development and approval to implementation and review
Collaborate with stakeholders to ensure policies are up-to-date, relevant, and compliant with current regulations and best practices
Design and implement a robust policy exception management workflow to handle deviations effectively
Ensure exceptions are documented, reviewed, and approved in a timely manner, with appropriate risk assessments conducted
Identify and define key performance indicators (KPIs) and metrics to measure the effectiveness of governance policies and programs
Develop dashboards and reporting tools to track and communicate performance metrics

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Senior Solution Architect AI & HPC

AI is a high-growth market for HPE, and we believe we are uniquely suited to bri...

Location

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Engineering, Computer Science, or similar quantitative focus preferred
Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc.
Expertise in cloud architectures, specifically with public cloud platforms such as AWS, Azure, or Google Cloud
Strong understanding of AI technologies, including machine learning, deep learning, and neural networks
Experience participating in solution configurations and the creation of PoCs to meet customer requirements
Solid knowledge of infrastructure components, including servers, storage, networking, and virtualization
Experience with high-performance computing (HPC) and GPU-accelerated systems is advantageous
Demonstrates expert technical skills in assigned area of specialization
Expert knowledge of the company offerings, strategic initiatives, current trends, competitor products and strategies within area of responsibility
Expert level written and verbal communication skills and mastery over English and local language

Job Responsibility

Collaborate with sales teams to understand customer requirements and develop tailored solutions for their AI infrastructure needs
Engage in pre-sales activities, including technical presentations, demonstrations, and proof-of-concepts
Act as a trusted advisor to customers, addressing their questions, concerns, and technical challenges effectively
Stay up-to-date with the latest advancements in AI technologies, cloud architectures, and infrastructure trends
Lead Proof-of-Concepts (PoC) for HPE customers expanding into Deep Learning or Machine Learning use cases
Architect reusable end-to-end AI solutions for HPE customers and prospects
Lead technical discussions with customers and partners to propose HPE and partner Integrated solutions
Identify solutions, define action plans, and help coordinate and deliver optimal solutions and enhancements
Recommend configurations and settings for different types of hardware and interconnect fabrics
Assist in any product or technical issue towards an initial sale or renewal of a customer

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

Senior Data Engineer

As a Senior Software Engineer, you will play a key role in designing and buildin...

Location

United States

Salary:

156000.00 - 195000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

5+ years experience in platform engineering, data engineering or in a data facing role
Experience in building data applications
Deep knowledge of data eco system with an ability to collaborate cross-functionally
Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
Excellent communication skills
Self-motivated and self-directed
Inquisitive, able to ask questions and dig deeper
Organized, diligent, and great attention to detail
Acts with the utmost integrity
Genuinely curious and open

Job Responsibility

Architect and build robust, scalable data pipelines (batch and streaming) to support a variety of internal and external use cases
Develop and maintain high-performance APIs using FastAPI to expose data services and automate data workflows
Design and manage cloud-based data infrastructure, optimizing for cost, performance, and reliability
Collaborate closely with software engineers, data scientists, analysts, and product teams to translate requirements into engineering solutions
Monitor and ensure the health, quality, and reliability of data flows and platform services
Implement observability and alerting for data services and APIs (think logs, metrics, dashboards)
Continuously evaluate and integrate new tools and technologies to improve platform capabilities
Contribute to architectural discussions, code reviews, and cross-functional projects
Document your work, champion best practices, and help level up the team through knowledge sharing

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Enterprise Data Architect

We are seeking a highly skilled and collaborative Data Architect to join our Ent...

Location

United States , Columbus

Salary:

167000.00 - 184000.00 USD / Year

Abercrombie & Fitch Co.

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or related field
advanced degree preferred, or combination of relevant skills and experience
10+ years of experience in technical leadership within large-scale organizations (retail experience preferred)
Proven expertise in enterprise data architecture, ideally in cross-functional or federated environments
Strong understanding of data modeling, metadata management, and data integration
Experience with modern data platforms (Snowflake, Databricks), cloud providers (AWS, Azure, GCP), and streaming technologies (Kafka, Spark)
Practical experience designing production-ready cloud platforms and implementing AI/ML models at scale
Demonstrable experience with data governance tools, semantic models and frameworks
Excellent communication, stakeholder management, and change leadership skills
Ability to translate complex technical concepts into actionable business value

Job Responsibility

In partnership with Data Strategy teams, determine the business and technical capabilities needed to align strategies with execution
Own and author data capability maps aligned with business functions
Translate business needs into domain-aligned data models
Act as a Strategic Though Partner and Enabler of AI/ML initiatives
Advise business and technology leaders on AI-readiness of systems and platforms
Identify opportunities for data reuse, integration, and optimization
Champion the development of data products
Define data architecture and analytics capabilities to enable real-time visibility, predictive modeling, and data-driven decision-making
Leverage data to identify trends, risks, and opportunities
Serve as subject matter expert and a leader inside our AICoE and CCoE

What we offer

Incentive bonus program
401(K) savings plan with company match
Annual companywide review process
Flexible spending accounts
Medical, dental and vision insurance
Life and disability insurance
Associate assistance program
Paid parental and adoption leave
Access to fertility and adoption benefits through Carrot
Access to mental health and wellness app, Headspace

Fulltime

Senior Manager - Data, AI and Cloud Architecture

Vodafone

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 05, 2026

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