Data Governance & AI Experts Job at Agrotec Spa

Senior Technical Lead - Data & AI (Oil & Gas)

At Codvo, we are committed to building scalable, future-ready data platforms tha...

Location

India , Pune

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Experience: 12+ years in technical roles, with at least 4+ years in a technical leadership or principal engineer capacity, managing cross-functional engineering teams
Cloud Expertise: Expert-level, hands-on knowledge of Microsoft Azure as a primary platform
Data & AI Expertise: Proven mastery of Databricks and Apache Spark (PySpark)
Extensive experience designing and building large-scale ETL/ELT data pipelines
Strong understanding of AI/ML workflows and data requirements for industrial AI use cases
DevOps & IaC Expertise: Deep proficiency with Infrastructure as Code (Terraform, ARM templates)
Hands-on mastery of Kubernetes and containerization (Docker)
Proven experience building and managing complex CI/CD pipelines (Azure DevOps, Jenkins)
Cloud Security: Strong, practical knowledge of cloud network security (VNETs, NSGs, Firewalls) and identity management (Azure Key Vault, IAM)
Industry Knowledge: Experience in the Oil & Gas sector or a similar heavy-industry/critical infrastructure environment

Job Responsibility

Technical Leadership & Mentorship: Lead, mentor, and provide technical direction to a multi-disciplinary team of engineers (Data, DevOps, Security). Foster a culture of high technical standards, collaboration, and continuous improvement
Detailed Solution Design: Partner with the Solutions Architect and Project Manager to decompose high-level architecture into detailed technical designs, actionable tasks, and implementation plans for the engineering team
Hands-on Development: Act as the lead engineer, personally designing and building the most complex components of the solution, including data pipelines, IaC modules, and CI/CD frameworks
Cross-Functional Integration: Drive the seamless integration of diverse systems, including OT data from historians (OSIsoft PI), data platforms (Databricks), cloud infrastructure (Azure), and CI/CD pipelines (Azure DevOps)
Technical Governance & Quality: Enforce technical best practices across all domains. Conduct rigorous code reviews, design reviews, and security assessments. Ensure all solutions adhere to security-by-design principles, CI/CD automation standards, and data governance policies
Stakeholder Collaboration: Translate complex technical concepts and risks to the Project Manager and business stakeholders. Manage technical dependencies and help the PM with accurate effort estimation and milestone tracking
Problem Solving: Serve as the primary escalation point for the team's most complex technical challenges, leading root cause analysis and implementing robust, long-term solutions

Fulltime

Agentic AI Governance & Change Management Strategy Lead

We are seeking a senior Agentic AI Governance & Change Management Lead to bridge...

Location

India , Delhi

Salary:

Not provided

Randstad

Expiration Date

July 20, 2026

Requirements

12+ years in digital transformation, change management, or IT consulting, with at least 3+ years specifically focused on AI governance, AI ethics, or advanced analytics
Deep understanding of generative AI, large language models (LLMs), multi-agent orchestration, and the broader AI ecosystem
Proven experience leading client-facing workshops, shaping enterprise-grade solutions, and collaborating with external stakeholders in sectors such as CPG, Retail, Energy, or Manufacturing
Strong executive presence with the ability to translate complex AI concepts into business value and actionable KPIs for non-technical leadership
Expertise in organizational change management frameworks (e.g., ADKAR, Kotter) and experience adapting them for emerging technologies

Job Responsibility

Establish AI Governance Frameworks: Define and implement robust governance plans for multi-agent systems to ensure compliance with global regulations, data security standards, and enterprise policies
Drive Responsible AI: Champion ethics in AI by developing policies that mitigate bias, ensure transparency, and maintain accountability in autonomous decision-making
Manage Decision Ops: Oversee Decision Operations, creating audit trails and monitoring frameworks to evaluate how AI agents make, execute, and scale decisions within enterprise environments
Define Change Management Strategies: Design end-to-end change management plans tailored to the integration of autonomous agents into existing human workflows
Track & Optimize Adoption: Develop metrics to track agent-human adoption rates
Foster AI Literacy: Lead training and cultural initiatives to shift organizational mindset from using tools to collaborating with digital agents
Drive Enterprise Rollouts: Lead enterprise adoption rollout programs, including user enablement, tool training, and governance alignment
Design Training Programs: Design and deliver enterprise training programs to build AI literacy at scale
Embed AI Workflows: Define new operating models that embed AI into day-to-day workflows
Overcome Adoption Barriers: Identify adoption barriers and implement strategies to drive sustained usage and value realization

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

Data Governance Senior Lead Analyst

The Data Governance Foundation Sr Lead Analyst is responsible for leading activi...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience, Banking or Finance industry preferred in a Data Governance/ Data Management/ Process Engineering or related area
Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences
able to drive consensus, and influence relationships at all levels
Collaborates effectively by building partnerships and working well with others to meet shared objectives
Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels
Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between seeing the “big picture” while paying close attention to detail
Organizational savvy: understands systems, management processes, knows where to go for information and how to interpret them
Working knowledge of Data Operating Model practices, Data Governance and Data Compliance within large, financial services firms
Strong knowledge of data governance models and operating models within complex organizations.
Perform deep‑dive data analysis using spreadsheets and reporting tools to identify trends, root causes, systemic issues, and recurring risks across data controls and governance metrics.

Job Responsibility

Liaise with partners to lead in establishing, managing and implementing policy adoption plans, compliance metrics, communications and training
Lead business analysis through collection, analysis, review, documentation and communication of business needs and requirements, to understand requirements and aligning these to Data Governance and/or Data Risk and Controls standards to drive appropriate solutions
Contribute to the establishment of Data Governance and/or Data Risk and Controls standards in alignment with Enterprise Chief Data Office, and ensure proper documentation of processes
Support key Data Transformation projects across the organization as Subject Matter Expert in data policies
Lead activities to ensure roles and responsibilities related to data are understood and implemented across businesses
Collaborate with colleagues to ensure timely execution of milestones, provide reporting of potential risks to delivery, and incorporate milestone reporting and changes
Capture requirements, develops delivery plans and manages the entire lifecycle of metrics and report production
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Lead enterprise data concern remediation frameworks, establishing clear oversight, escalation, and accountability models across multiple data governance pillars (e.g., quality, lineage, privacy, retention).
Partner with business, technology, and data teams to reimagine how governance is designed, communicated, and adopted.

Fulltime

Team Manager AI & Data Strategy

At Vantage Towers, we're on a mission to power Europe's sustainable digital tran...

Location

Portugal , Lisboa

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in business, computer science, data analytics, engineering, or related field (or equivalent experience)
Several years of experience in data, analytics, and/or data platform environments with responsibility for business-facing delivery
Proven experience leading teams and/or complex delivery streams in stakeholder-driven environments
Strong understanding of cloud-based data platforms, ideally GCP, including data lake and scalable analytics platform concepts
Familiarity with GCP services such as BigQuery, Cloud Run, Airflow, Dataflow, or comparable services on other cloud platforms
Some exposure to ML/GenAI/RAG/agentic implementations (worked alongside teams delivering such solutions
understands key data requirements and common pitfalls)
Experience in managing data integration, transformation and reporting environments
ability to steer end-to-end delivery
Experience driving business value and adoption from data solutions (self-service analytics, reporting products, datasets)

Job Responsibility

Lead and develop the Data team (data engineers, data analysts and data architects)
set clear goals, coach performance, and foster a collaborative delivery culture
Drive prioritization based on business value, strategic impact and feasibility
maintain a transparent backlog and delivery roadmap - including AI-enabling priorities where data foundations are critical
Ensure key datasets are AI-ready and adopted by driving data quality, documentation and consistent business semantics that support downstream AI and analytics consumption
Manage stakeholder demand end-to-end: clarify needs, translate into deliverable requirements, and align expectations across business and IT
Oversee the development and operation of a scalable, maintainable and reliable GCP-based data platform and analytics products as the foundation for scalable AI use cases
Steer data integration, transformation and reporting delivery across GCP components (e.g., BigQuery, Cloud Run, Airflow, Dataflow) and related services
Ensure orchestration, monitoring and operational transparency
establish run-books, KPIs and platform health reporting, and drive cost awareness and optimization of GCP resources

What we offer

A diverse, multicultural setup based on our values – Accountability, Respect, Teamwork, and Trust – and the unique opportunity to shape the organisation
An attractive salary package
Meal Allowance: Delivered on Pluxee card - €10.20/day
Pension Plan
Full Health Insurance: For employees and co-payment for family members
Life Insurance
7 extra vacation days: 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's
Parking Slot

Fulltime

Senior Cloud Solution Architect - Cloud & AI Data Platform

We are looking for a Senior Cloud Solution Architect – Cloud & AI Data Platform ...

Location

United States , Multiple Locations

Salary:

106400.00 - 251900.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Job Responsibility

Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking)
Collaborates across Microsoft and customer/partner teams through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction
Proactively manages business and technical risks, adapts methodology and applies governance principles to identify, communicate, and minimize business and technical risks
Executes work in compliance with industry and Microsoft guidelines and procedures
Continuously prioritizes among competing demands in their work and identifies where impact occurs with customers, ensuring alignment with business priorities and goals
Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables [VBDs], advice, training, technical validation), ensuring proven practices and patterns are followed to prepare customers for operational readiness and achievement of their business goals and targets
Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage
Guides customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence [AI]-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities
Provides feedback to Unified Delivery Team on VBDs to refine and further develop content
Proactively identifies new opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale based on business value to customer/partner and clear understanding of the Microsoft value proposition for supported platforms to empower cloud success, foster and strengthen security and resiliency, and drive AI innovation

What we offer

Certain roles may be eligible for benefits and other compensation.

Fulltime

Senior AI & Data Strategy Expert

At Vantage Towers, we're on a mission to power Europe's sustainable digital tran...

Location

Portugal , Lisboa

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

University degree in IT, computer science, engineering, business with IT focus, or equivalent experience
5+ years of experience in data architecture, data engineering, or related roles, incl. 2+ years in cloud environments (ideally GCP)
Strong knowledge of data architecture principles (data modeling, integration patterns, pipeline orchestration, storage design)
AI enablement (platform-side): hands-on exposure to supporting AI/ML workloads on the data platform (e.g., integrating data/pipelines for Vertex AI / BigQuery ML-style use cases, and setting up the data access + monitoring needed for reliable production use)
Interoperability experience: enabling cross-platform access to governed data via standard interfaces/protocols (e.g., MCP / A2A concepts)
Proficient programming skills (Python or Java) and advanced SQL
Practical experience with BI/reporting platforms, preferably Power BI
Experience designing or implementing scalable, cloud-native data solutions
Proven experience working across distributed and multinational teams
Fluent English (C1)

Job Responsibility

Design scalable, secure, future-proof data architectures that form the backbone of our VT Data Lake and analytics landscape
Define end-to-end solution designs for data ingestion, transformation, storage, and consumption across platforms (incl. GCP)
Build and optimize data pipelines and data models (ETL/ELT, orchestration, storage design) to support analytics and reporting at scale
Enable selected AI/ML use cases by defining governed data access patterns and curated datasets that provide trusted context
Develop self-service BI and reporting that translates complex datasets into actionable insights (e.g., Power BI)
Lead technical design reviews, assess architectural trade-offs, and ensure solutions follow best-practice patterns
Guide and challenge external vendors to deliver high-quality, maintainable, compliant data and analytics solutions
Establish data governance principles, standards, and documentation to ensure architectural consistency and data quality
Explore and pilot emerging technologies relevant to modern data architecture (including agentic AI enablement where useful)

What we offer

Diverse, multicultural setup based on our values – Accountability, Respect, Teamwork, and Trust – and the unique opportunity to shape the organisation
Attractive salary package
Meal Allowance: Delivered on Pluxee card - €10.20/day
Pension Plan
Full Health Insurance: For employees and co-payment for family members
Life Insurance
7 extra vacation days: 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's
Parking Slot

Fulltime

AI & Data Science Engineering Expert

At Vantage Towers, we’re on a mission to power Europe’s sustainable digital tran...

Location

Portugal , Lisboa

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

University degree (Bachelor’s or Master’s) in Data Science, Computer Science, Statistics, or a related field
Minimum of 3 years of hands-on experience in building and deploying machine learning models
At least 2 years working with cloud-based AI services, preferably on Google Cloud Platform (e.g., Vertex AI, BigQuery ML)
Strong proficiency in Python and experience with ML/GenAI libraries (scikit-learn, TensorFlow, Hugging Face, OpenAI SDK)
Proven experience with LLM-based applications, RAG patterns, and agentic workflows
Knowledge of MLOps and GenAIOps workflows, including model versioning and performance tracking
Fluency in Business English (C1 level written and spoken)

Job Responsibility

Develop and operationalize machine learning and generative AI models for high-impact business use cases
Design and implement data science models, including feature engineering and rapid prototyping
Build and automate AI pipelines, integrating them into business processes and tools
Manage the full AI lifecycle, including MLOps, monitoring, retraining, and governance alignment
Design and deploy GenAI applications such as content summarization, intelligent document processing, and chatbot assistants
Collaborate with data engineers and architects to align AI components with enterprise data architecture
Translate complex AI models into actionable business insights through compelling storytelling

What we offer

Diverse, multicultural setup based on values – Accountability, Respect, Teamwork, and Trust
Attractive salary package
Meal Allowance delivered on Pluxee card - €10.20/day
Pension Plan
Full Health Insurance for employees and co-payment for family members
Life Insurance
7 extra vacation days: 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's
Parking Slot

Fulltime

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