Senior Solution Owner | AI & Data Solutions Job at Provectus (New York)

Senior Solution Owner | AI & Data Solutions

At Provectus, we empower enterprises to unlock transformative value through AI, ...

Location

Colombia

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

5 to 7+ years of experience in product management with demonstrated success taking technical products from 0 to 1 and scaling
3 to 5+ years of experience with AI/ML products, Generative AI, or data platform development
3 to 5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies
Deep understanding of cloud architectures (AWS, Azure, GCP) and the modern data stack
Deep expertise in modern data architectures and platforms such as Snowflake, Databricks, and BigQuery
Understanding of GenAI technologies: prompt engineering, fine-tuning, RAG, vector databases, and embedding models
Experience with Agentic AI frameworks such as LangChain, AutoGPT, or CrewAI
Familiarity with data migration strategies, ETL/ELT pipelines, data modeling, and metadata management
Proven track record managing stakeholders across technical and business functions in complex environments
Exceptional communication and storytelling, translating complex technical concepts into compelling narratives

Job Responsibility

Drive AI-Powered Product Innovation
Define product vision and roadmaps for client solutions leveraging GenAI, LLMs (GPT-4, Claude, Llama, Gemini), RAG architectures, and Agentic AI frameworks
Lead end-to-end product lifecycle from ideation through launch for AI/ML products, ensuring alignment with client business objectives and KPIs
Develop compelling business cases by analyzing market opportunities, competitive positioning, and ROI projections for AI implementations
Lead Complex Data & Migration Initiatives
Oversee product strategy for large-scale data migration projects across cloud platforms (AWS, Azure, GCP)
Guide data product development including ingestion pipelines, transformation layers, governance frameworks, and consumption APIs
Ensure data quality, security, compliance, and observability across all deliverables
Champion Agile Delivery Excellence
Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed features and epics

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship
Access to the latest AI tools and premium subscriptions
Clear career growth path

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-Data Solutions Lead -Vice President

Citi, the leading global bank, has approximately 200 million customer accounts a...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

13+ years of progressive experience in data analysis, business analysis, or systems analysis, with a strong emphasis on data quality initiatives, AI driven data analytics, and system implementation, preferably within a leadership or senior specialist capacity
Demonstrated advanced proficiency and practical application of Agentic AI, LLM, and GenAI tools for developing innovative data analytical solutions
Experience in designing and implementing AI/ML-driven data solutions is essential
Expert-level proficiency in data analysis and management tools and applications, including Oracle, PL-SQL, advanced data lineage tools, and enterprise data cataloging solutions
Strong familiarity with business intelligence and reporting concepts (e.g., dashboards, metrics, and reporting layers)
extensive hands-on experience reviewing documentation for BI tools such as Tableau is a significant plus
Proven leadership experience, including mentoring junior team members, fostering skill development, and leading cross-functional projects
Demonstrated ability to work independently with minimal supervision, taking full ownership of initiatives, and driving them to successful completion from conception to delivery
Extensive prior experience (minimum 6 years) in the banking or financial services industry is required, with deep exposure to enterprise risk management or specific risk management categories, including a strategic understanding of the role of data in risk reporting, monitoring, and decision-making
Exceptional analytical, problem-solving, and organizational skills, with the ability to interpret highly complex data requirements, synthesize diverse information, and translate them into actionable, executive-level specifications

Job Responsibility

Provide expertise on Data Governance and/or Data Risk and Controls framework including design, effectiveness, performance monitoring and self-assessment processes
Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting
Lead and mentor a team of junior data analysts, fostering their professional growth, developing their technical and soft skills, and ensuring high-quality, impactful deliverables
Drive the adoption of best practices in data analysis, data governance, and project management across the team and contribute to a culture of continuous improvement
Lead and mentor a team of junior data analysts, fostering their professional growth, developing their technical and soft skills, and ensuring high-quality, impactful deliverables
Drive the adoption of best practices in data analysis, data governance, and project management across the team and contribute to a culture of continuous improvement
Spearhead the integration and advanced application of Agentic AI, LLM, and other Generative AI (GenAI) tools to develop sophisticated and innovative data analytical solutions for Enterprise Risk Management
Define, develop, and implement AI/ML strategies for predictive modeling, advanced anomaly detection, automated reporting, and enhanced risk insights within the financial risk domain
Evaluate and recommend new AI/ML technologies and methodologies to continuously improve data analysis and reporting capabilities
Proactively identify strategic data opportunities and challenges, proposing innovative solutions to enhance Enterprise Risk Management capabilities and reporting effectiveness

Fulltime

Senior Data Scientist / AI Engineer

Navarro Research and Engineering is recruiting a Senior Data Scientist / AI Engi...

Location

United States

Salary:

Not provided

Navarro Inc

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field
5+ years of experience in data science, machine learning, AI engineering, or related fields
2+ years of experience deploying and operating production AI/ML systems
Strong knowledge of supervised and unsupervised learning techniques
Experience with model development, evaluation, and optimization
Statistical analysis and experimental design experience
Proficiency in Python and common ML frameworks
Experience deploying and operating open-source LLMs
Experience with Llama family models, Mistral models, Hugging Face models
Knowledge of RAG architectures, Agent frameworks, Prompt engineering, Model evaluation methodologies, Fine-tuning approaches

Job Responsibility

Design, build, train, evaluate, and deploy machine learning and generative AI solutions
Develop and maintain predictive analytics, NLP, computer vision, and LLM-based applications
Implement Retrieval-Augmented Generation (RAG), agentic workflows, and knowledge management solutions
Evaluate commercial, open-source, and custom AI models for mission-specific use cases
Deploy and operate local/open-source models in secure environments
Configure and optimize inference environments using GPUs and containerized deployments
Manage model serving platforms and inference frameworks
Implement monitoring, performance tuning, and lifecycle management for locally hosted models
Support disconnected, restricted, or air-gapped operational environments
Design and deploy AI solutions within Azure Government

What we offer

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k,)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation & Public Holidays)
Short Term & Long Term Disability

Fulltime

Senior Solution Architect – Analytics & AI Applications

The Data Assets, Analytics & AI team focuses on driving digital transformation a...

Location

Poland , Warsaw

Salary:

Not provided

Devire

Expiration Date

Until further notice

Requirements

Bachelor or Master degree in Computer Science, Engineering, or similar
5+ years' working experience in the field of cloud native application architecture (Azure), expert in concepts like microservices, containerization/docker, serverless computer, event-based architectures and service mesh architectures
Proficient knowledge of Microsoft Azure services for web application development: Azure Container Apps, Azure functions, Azure SQL, Storage accounts, Azure functions, as well as good understanding of frameworks/components used for application development in Python (e.g. Django, Flask, FastAPI) and JavaScript UI Frameworks (React.js, Next.js)
Experience with data analytics & AI specific services and concepts is a plus (Azure Databricks, MLFlow, Vector Databases, RAG, AI foundry and frameworks to build AI agents, forecasting and optimization models)
Expert in GitHub ecosystem including the VCS, GitHub Actions for CI/CD and working with tickets/issues and pull requests. Understanding ML/Ops practices is a plus
Experience in applying Agile methodologies (Scrum, Kanban)
Strong problem solving and analytical skills, combined with impeccable business judgement. Interpersonal and communication skills, active listening, consulting, challenging, presentation skills. Being able to explain complex solutions to various stakeholders
Fluent in English, both written & spoken, intercultural awareness and willingness to travel

Job Responsibility

Lead the technical implementation of state-of-the-art cloud native data analytics & AI applications
Work closely with data scientists, AI-engineers, full stack application developers, data architects, dev/ops engineers and product managers to define project scope and deliverables
Assess and translate functional and non-functional requirements into technical concepts
Assess, recommend and lead the creation of reusable components and tools
Partner with data scientists and AI-engineers to assess frameworks and tools
Stay updated with the latest trends and advancements in application engineering
Collaborate closely with the cloud platform team to continuously enhance the technology stack
Support prototypes and proof-of-concept applications with architecture concepts
Produce comprehensive documentation, including architectural diagrams, design specifications, and user manuals
Together with the product owner steer application developers, guide them as architects, provide cost and time estimations, challenge vendor costs, assure quality delivery and proper handover to support

What we offer

A flexible, hybrid work model
Great workplace in a new modern office in Warsaw
Career development, 360° Feedback & Mentoring program
Wide access to professional development tools, training, & conferences
Company Bonus & Reward Structure
VIP Medical Care Package (including Dental & Mental health)
Holiday allowance (“Wczasy pod gruszą”)
Life & Travel Insurance
Pension plan
Co-financed sport card - FitProfit

Fulltime

Data Solution Architect

At Data Idols, we are working with a large-scale, data-driven organisation inves...

Location

United Kingdom of Great Britain and Northern Ireland , London

Salary:

90000.00 - 100000.00 GBP / Year

Data Idols

Expiration Date

Until further notice

Requirements

Strong experience designing secure, scalable data solutions in complex environments
Experience working with Azure-based data platforms
Experience with Databricks or similar modern data platforms
Good understanding of data warehouse, data lake or lakehouse architectures

Job Responsibility

Provide design and architecture guidance across a broad portfolio of data initiatives
Work closely with product owners, engineering leads, data teams and senior stakeholders to understand business requirements and translate them into clear, robust high-level designs
Articulate solution designs, document key decisions, define reusable patterns and ensure consistency across a shared data platform
Support a modern cloud data platform with exposure to analytics, reporting, data science, AI use cases and increasingly real-time data capabilities

Fulltime

Senior Data Engineer

Softwire is one of the UK’s leading digital technology consultancies, offering s...

Location

United Kingdom , London

Salary:

59400.00 - 78800.00 GBP / Year

Softwire

Expiration Date

Until further notice

Requirements

5+ years’ experience in a data engineering, software engineering or similar relevant context, with a demonstrable track record of delivering at senior or lead level
Strong hands-on experience across several of our core technologies, including Python, SQL, Databricks, Snowflake, Fabric, and major cloud platforms (AWS/Azure/GCP), and can credibly advise clients on technology choices
Deep pattern recognition from prior projects and can rapidly assess unfamiliar tech stacks, client environments, and sectors, getting to grips quickly and providing sound technical guidance from the outset
Deep understanding of data engineering best practice, including data modelling, pipeline design, data governance, data infrastructure & security, testing, and observability, and are confident setting standards and making architectural decisions on complex, ambiguous projects
Exceptional communicator, able to translate complex technical concepts for senior stakeholders, build trust with clients at all levels, and represent Softwire with credibility and confidence
Outcome-focused and have a strong track record of driving delivery across complex, multi-team engagements, holding yourself and others to high standards to ensure genuinely high-impact results for clients
Actively shape the technical direction of your team, leading on architecture, data modelling, technical design, and client interactions and take genuine ownership of the growth and performance of more junior engineers
Deeply passionate about leveraging technology to deliver outstanding outcomes for clients and end users, and you stay current with the data and AI landscape to bring fresh thinking to every engagement
High bar for technical quality and delivery rigour not just in your own work, but in the standards you embed across the team and the practices you champion with clients
Drive meaningful improvements in your clients’ technical maturity, bringing a strategic, advisory mindset that balances long-term engineering ambition with pragmatic business realities

Job Responsibility

Lead the data architecture and modelling for Moorfields Eye Hospital’s INSIGHT programme, defining standards and guiding the team to support pioneering ophthalmic research
Own the technical strategy for data pipelines, cloud infrastructure, and dashboards on Elexon’s Azure platform, driving reliability and performance at the heart of Britain’s electricity market
Define the end-to-end solution design for a financial services company migrating legacy Excel workflows into a modern cloud-native scheduler, accountable for technical risk and stakeholder sign-off
Lead data modelling and advisory work for a civil service department replacing a legacy HR system, acting as the senior technical voice in client engagements
Architect and lead the delivery of an AI transcription service for the BBC using GenAI, shaping both the technical approach and team execution

What we offer

25 days annual leave (with the option to buy and sell)
Flexible work options (e.g. working from home 2dpw
4-day working contract)
Time off for company-wide morale activities, time off for charitable / CSR activities
Income protection, cycle to work, electric vehicle lease schemes, and payroll charity donations
Additional 5% of salary pension
Profit share

Fulltime

Senior Data Engineer

Are you passionate about shaping the future of AI and empowering millions of use...

Location

Canada , Vancouver

Salary:

114400.00 - 203900.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Compliance: Anticipates the need for data governance and designs data modeling and data handling procedures, with direct support and partnership with Corporate, External, and Legal Affairs (CELA), to ensure compliance with applicable laws and policies across all aspects of the development process
Tags data based on categorization (e.g., personally identifiable information [PII], pseudo-anonymized, financial)
Documents data type, build data dictionary, classifications, and lineage to ensure traceability
Governs accessibility of data within assigned data pipelines
Provides guidance on contributions to the data glossary to document the origin, usage, and format of data for each program
Independently implements data governance and privilege of least access practices leveraging security tools
Builds responsible AI-compliant data products and/or applications
Data Management and Transformation: Plans and creates efficient techniques and operations (e.g., inserting, aggregating, joining) to transform raw data into a form (e.g., dimensional data model) that is compatible with downstream data consumers, databases, and formats that support applications, analytics and reporting
Independently uses software, query languages, and computing tools (e.g., cloud-based) to transform raw data across end-to-end pipelines
Evaluates data to ensure data quality and completeness using queries, data wrangling, and statistical techniques

Fulltime

Select Country

Senior Solution Owner | AI & Data Solutions

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?

Senior Solution Owner | AI & Data Solutions

Senior Solution Owner | AI & Data Solutions

Senior Manager, Data Science and AI Technical Product Owner

Ai-Data Solutions Lead -Vice President

Senior Data Scientist / AI Engineer

Senior Solution Architect – Analytics & AI Applications

Data Solution Architect

Senior Data Engineer

Senior Data Engineer

Our AI answers in your language