Senior Technical Solution Manager | AI & Data Platforms Job at Provectus

Senior Solution Manager – AI & Data Solutions

Provectus is a Premier AWS partner at the forefront of Artificial Intelligence s...

Location

Germany;Austria;Romania

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

5–7+ years in product management (0→1 and scaling)
3–5+ years with AI/ML, GenAI, or data platforms
Strong Agile/Scrum experience
Experience in client-facing / consulting environment
Advanced English and German language skills
GenAI: prompt engineering, RAG, embeddings, vector DBs
Agentic AI: LangChain, AutoGPT, CrewAI
Data: ETL/ELT, data modeling, migration strategies
Cloud: AWS, Azure, GCP + platforms (Snowflake, Databricks, BigQuery)
MLOps, model deployment, AI observability

Job Responsibility

Define product vision and roadmaps for GenAI/LLM solutions (GPT-4, Claude, Llama, Gemini), RAG, and Agentic AI
Own end-to-end product lifecycle (0→1 and scale) aligned with business KPIs
Build business cases (market analysis, ROI, competitive positioning)
Lead large-scale data migration across AWS, Azure, GCP
Oversee data pipelines, transformation, governance, and APIs
Ensure data quality, security, compliance, and observability
Lead Agile processes, backlog grooming, and sprint planning
Break down complex features into incremental releases
Balance feature delivery with technical debt and architecture improvements
Work with clients, engineers, data scientists, and UX teams

What we offer

Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms
Shape how enterprises adopt AI — from strategy to architecture to delivery
Grow within a team building modern AI-delivery practices, tools, and frameworks
Remote-friendly culture with strong engineering, data, and consulting partnerships

Fulltime

Senior Solution Manager – AI & Data Solutions

Provectus is a Premier AWS partner at the forefront of Artificial Intelligence s...

Location

Serbia; Poland; Romania; Spain; Germany , Belgrade; Cracow; Yerevan

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

5–7+ years in product management (0→1 and scaling)
3–5+ years with AI/ML, GenAI, or data platforms
Strong Agile/Scrum experience
Experience in client-facing / consulting environment
Advanced English and German language skills
GenAI: prompt engineering, RAG, embeddings, vector DBs
Agentic AI: LangChain, AutoGPT, CrewAI
Data: ETL/ELT, data modeling, migration strategies
Cloud: AWS, Azure, GCP + platforms (Snowflake, Databricks, BigQuery)
MLOps, model deployment, AI observability

Job Responsibility

Define product vision and roadmaps for GenAI/LLM solutions (GPT-4, Claude, Llama, Gemini), RAG, and Agentic AI
Own end-to-end product lifecycle (0→1 and scale) aligned with business KPIs
Build business cases (market analysis, ROI, competitive positioning)
Lead large-scale data migration across AWS, Azure, GCP
Oversee data pipelines, transformation, governance, and APIs
Ensure data quality, security, compliance, and observability
Lead Agile processes, backlog grooming, and sprint planning
Break down complex features into incremental releases
Balance feature delivery with technical debt and architecture improvements
Work with clients, engineers, data scientists, and UX teams

What we offer

Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms
Shape how enterprises adopt AI — from strategy to architecture to delivery
Grow within a team building modern AI-delivery practices, tools, and frameworks
Remote-friendly culture with strong engineering, data, and consulting partnerships

Fulltime

Senior Solution Manager – AI & Data Solutions

Provectus is a Premier AWS partner at the forefront of Artificial Intelligence s...

Location

Armenia; Poland; Serbia; Ukraine; Spain

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

5–7+ years in product management (0→1 and scaling)
3–5+ years with AI/ML, GenAI, or data platforms
Strong Agile/Scrum experience
Experience in client-facing / consulting environments
GenAI: prompt engineering, RAG, embeddings, vector DBs
Agentic AI: LangChain, AutoGPT, CrewAI
Data: ETL/ELT, data modeling, migration strategies
Cloud: AWS, Azure, GCP + platforms (Snowflake, Databricks, BigQuery)
MLOps, model deployment, AI observability
Tools: Jira, Confluence, Figma, Tableau/Power BI, Git

Job Responsibility

Define product vision and roadmaps for GenAI/LLM solutions (GPT-4, Claude, Llama, Gemini), RAG, and Agentic AI
Own end-to-end product lifecycle (0→1 and scale) aligned with business KPIs
Build business cases (market analysis, ROI, competitive positioning)
Lead large-scale data migration across AWS, Azure, GCP
Oversee data pipelines, transformation, governance, and APIs
Ensure data quality, security, compliance, and observability
Lead Agile processes, backlog grooming, and sprint planning
Break down complex features into incremental releases
Balance feature delivery with technical debt and architecture improvements
Work with clients, engineers, data scientists, and UX teams

What we offer

Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms
Shape how enterprises adopt AI — from strategy to architecture to delivery
Grow within a team building modern AI-delivery practices, tools, and frameworks
Remote-friendly culture with strong engineering, data, and consulting partnerships

Fulltime

Senior Manager, Data Science and AI Technical Product Owner

Do you want to make a global impact on patient health? Do you thrive in a fast-p...

Location

Mexico; Costa Rica , Mexico City; San Jose

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
2-3 years of hands-on product management experience
2+ years of hands-on software development experience, preferably in a cloud environment such as AWS
Track record of managing cross-functional stakeholder groups and effecting change
Clearly articulates expectations, capabilities, and action plans
actively listens with others’ frame of reference in mind
appropriately shares information with team
favorably influences people without direct authority
Clearly articulates scope and deliverables of projects

Job Responsibility

Partner with other leaders to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development
Communicate value delivered through industrialized AI/ML assets to end user functions (e.g., Chief Marketing Office, PBG Commercial and Medical Affairs) and partner to ideate, design, and implement industrialized assets that can be scaled across markets, brands, and TAs
Partner with Commercial Data team to integrate industrialized assets into enterprise-level analytics data products where appropriate
Partner with Platforms team on continuous development and end to end capability integration between OOB platforms and internal engineered components (API registry, ML library / workflow management, enterprise connectors, AI reusable components)
Performance and resource optimization of managed pipelines and models
Lead the advancement of at scale “industrialized” AI and data science capabilities and industrialized asset products
Own vision and maintain a holistic and consistent roadmap for data science and AI products, including data science workflows, AI based software solutions, and AI components
Provide the voice of the user as the product owner on agile product development teams to maximize value and impact of industrialized data science and AI products
Drive adoption of products through user community engagement (e.g., roadshows, training sessions, knowledge sharing etc.)
Develop and maintain business-facing assets documentation/communication for data science and AI products (e.g., value proposition, catalog, and adoption metrics)

Fulltime

AI Solution Developer II / Senior AI Solution Developer

This role will work within our Scientific Data Technology and AI department whic...

Location

United Kingdom

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
Proven CS fundamentals including data structures, algorithms, and distributed systems
Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
Experience with data modeling and pipeline development in Palantir Foundry
Experience with frontend development for intuitive user experience
Practical understanding of database technologies including relational, non-relational and graph

Job Responsibility

Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
Design, implement, and document new ML/Gen AI modeling techniques and strategies
Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
Review code and pipelines of other engineers to enhance ML quality and security within Foundry
Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
Collaborate with Product to define and implement features to satisfy customer requirements within Foundry

What we offer

competitive base salary
holiday
private healthcare
dental insurance

Fulltime

Senior Manager - Data, AI and Cloud Architecture

The role will lead the enterprise-wide architecture strategy for data platforms,...

Location

United Kingdom , London

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Strong background in solution, domain and enterprise architecture across large-scale systems and integration landscapes
Extensive experience in enterprise data architecture, AI/ML architecture, and cloud-native platform design
Strong knowledge of MLOps, data governance, streaming, analytics platforms, FinOps, and cloud-native patterns (AWS/GCP/Azure)
Proven ability to shape large-scale, secure, and resilient solutions in regulated environments
Deep familiarity with architecture governance frameworks and processes (e.g., ARB, blueprints, roadmaps, patterns)
Experience partnering with engineering, cloud, cyber, privacy, and product teams to deliver complex platform capabilities
Demonstrated ability to lead architectural assessments, resolve cross-domain design risks, and enable predictable delivery
Strong leadership, communication, and stakeholder engagement experience across technical and business domains

Job Responsibility

Lead and manage a team of IT/Solution Architects, providing direction, coaching, and performance management
Set the strategic architecture direction for data, AI/ML, analytics, and MLOps platforms, establishing reference architectures, blueprints, patterns, and guardrails
Lead discovery and impact assessments across analytics, data modelling, MDM, streaming, AI/ML, MLOps, and FinOps to shape high-quality Solution Intents, ITDAs, and HLDs
Partner with Engineering, Cyber, Privacy, Cloud, and Product teams to ensure platform designs are secure, scalable, and aligned with enterprise strategy
Define and govern reusable patterns, including ingestion, data modelling, integration, and AI/ML deployment frameworks, ensuring consistency and quality across domains
Provide expert assurance through delivery, validating LLDs, resolving architectural risks and escalations, and maintaining design integrity throughout the development lifecycle
Enable cloud and data platform optimisation, embedding FinOps practices, observability, automation, and cost efficiency across architectures
Champion data quality, governance, and lifecycle management through strong architectural foundations and cross-functional collaboration
Oversee vendor and tooling evaluation, ensuring technology choices align with enterprise needs, resilience, and long-term roadmap
Drive innovation in AI, automation, and cloud architecture, introducing modern solutions that accelerate business outcomes and reduce technical debt

What we offer

Great pay, bonuses, up to 28 days off plus bank holidays, and paid time for charity work
Discounts, vouchers, a pension plan and loads more
Amazing learning tools and top-notch parental leave policies

Fulltime

Data & AI Technical Delivery Manager

The Data & AI Technical Delivery Manager will lead complex transformation progra...

Location

United Kingdom , London

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Proven experience delivering complex Data & AI programmes within UK Central Government
Strong understanding of GDS Service Standards and the Technology Code of Practice
Demonstrated leadership of multi-disciplinary technical teams (data engineers, architects, AI/ML specialists)
Deep experience in Agile delivery methodologies within regulated environments
Strong commercial acumen, including financial forecasting and margin ownership
Expertise in risk management, governance and structured reporting
Experience delivering cloud-based data platforms (Azure preferred
AWS/GCP awareness beneficial)
Knowledge of secure-by-design principles and compliance-led delivery
Confidence operating as a senior client-facing authority and escalation point

Job Responsibility

Lead end-to-end delivery of complex Data & AI programmes within Central Government
Own the full project lifecycle — from shaping and estimation through to delivery and formal acceptance
Manage demand planning, forecasting, budgeting and prioritisation of project work
Define, lead and monitor delivery activities ensuring adherence to methodology, quality standards and architectural principles
Minimise technical debt while maintaining delivery pace and integrity
Act as the primary escalation point for clients on delivery matters
Organise, review and assure effort estimates for bids and live engagements
Prepare internal and external reporting that provides meaningful management information and drives informed decision-making
Establish and lead robust governance frameworks, both internally and client-facing
Identify, track and actively manage risks, ensuring value is protected and delays are minimised

Fulltime

Data & AI Technical Delivery Manager

The Data & AI Technical Delivery Manager will lead complex, cross-functional ini...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s and/or master’s degree in computer science, Engineering or related technical discipline
Minimum of 10 years of experience in delivery management, with at least 3-5 years working with data or AI technologies, in high scale/high distribution/enterprise level systems/tech on supply side
Previous experience as a Technical Delivery manager delivering data and/or AI solutions in both an Agile and hybrid environment
Experience of working on and leading larger Programmes of Data work or complex Data projects
Management of demand planning, forecasting, budgeting and prioritisation of project work within the team
Define, lead and monitor all team delivery ensuring adherence to delivery methodology, quality and architectural principles, to deliver business goals and minimise technical debt
Effort estimation: Organise, review and assure effort estimates for technical work, either for bids or on projects
Reporting: Prepare internal and external project reports which provide the necessary MI, and help to steer behaviour
Governance: Organise and drive project governance internally and externally
Risk management: Identify, track, communicate and manage risks, measure value and make judgments to minimise costs and delays

Job Responsibility

Responsible for delivery of a large and complex programme, or a few medium sized projects simultaneously from inception to outcome delivery
Leading teams from 15 – 75 people
Used to dealing with C suite and senior client stakeholders to set and manage expectations
Manages multiple delivery teams via lower-level delivery staff for example scrum masters/agile delivery leads, project managers
Works closely with other practices such as platform, security, managed services and testing to deliver end to end solutions for clients and manage the various dependencies
Manages across onshore and nearshore or offshore teams
Comfortable in leading services delivered from client locations integrated with staff from NTT DATA locations
Comfortable with all aspects of programmatic including planning, resource management, dependency and risk management, commercials and forecasting
Experience in business development and sales and able to support opportunity qualification and bid reviews prior to submission to ensure they are robust and deliverable

What we offer

New beginnings can be a challenge. We promise a smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Early bird or night owl? Our projects have different working hours to suit your needs
Nobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
We want you to stay healthy! Enjoy our Private Health Insurance ⁠– it’s custom-made for you
A clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School
Make the most of our epic parties or themed events – they’re lovingly designed for our people and their families

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Senior Technical Solution Manager | AI & Data Platforms

Job Description

Job Responsibility

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What we offer

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