AI & Data Lead Job at Dynamic Search Solutions (North West)

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

Risk & Controls Oversight Senior Lead - AI & Data Risk

As a Risk & Controls Oversight Senior Lead – AI & Data Risk you’ll be responsibl...

Location

United Kingdom , London; Northampton

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Good understanding of Retail Banking Customer Journeys to identify and manage associated risks and controls
In-depth expertise in Data and Records Management. This includes knowledge of data architectures, data quality standards, and data retention/deletion practices
Expertise in AI, with a focus on ethical principles, transparency and fairness assessments
Ensure good Risk Assessment and governance across use AI case approval, validation, deployment and monitoring
Up-to-date with the latest advancements in AI, including Generative AI, and the associated risks
Proven experience in data analytics, data science, and driving automation and digitization within Risk Management processes
Ability to balance risk management with business goals when defining Risk Appetite, and effectively influencing or negotiating with stakeholders on risk acceptance
Be able to conduct active deep dives and Risk assessments for active Risk management
Well-versed in market trends, competitor activities, and the broader risk environment, with the ability to use this knowledge to enhance internal controls
Having gravitas and experience in influencing senior stakeholders including Managing Director level

Job Responsibility

Developing and assessing risk appetite
Leading conversations on risk acceptance
Ensuring controls are designed and assessed properly, resolving any gaps and improving the control environment
Ensuring ongoing monitoring of controls to keep the business audit ready
Embedding active risk management culture
Assessing new business activities and leveraging tools KRIs and risk dashboards
Staying on top of market trends and emerging risks
Driving continuous education based on internal and external themes and lessons learnt
Ensuring compliance with relevant laws and regulations
Preparing and enhancing governance papers and reports

What we offer

Cycle or run to work
CoSpace drop-in co-working space
Wellness Suite including a well-equipped gym and exercise studios, personal training sessions and massage therapy
Advanced trading floors
Inclusive and supportive culture
Hybrid working

Fulltime

Salesforce Tech Lead - Data & AI

We are seeking a visionary and hands-on Senior Engineer / Tech Lead to lead the ...

Location

United States , Boston; Plano; St. Petersburg; Atlanta; Morristown

Salary:

127000.00 - 169000.00 USD / Year

Zelis

Expiration Date

Until further notice

Requirements

7+ years of experience in software engineering, with a strong focus on Salesforce and data-intensive applications
Proven experience integrating Salesforce with enterprise data platforms and building AI/ML-enabled features
Hands-on experience with Salesforce Data Cloud and agent frameworks like Agentforce
Proficiency in Apex, Lightning Components, Salesforce APIs, and data engineering tools
Experience with AI/ML platforms (e.g., Azure ML, AWS SageMaker, Einstein AI) and model deployment strategies
Strong understanding of data architecture, governance, and security
Excellent communication and stakeholder management skills

Job Responsibility

Design and develop intelligent solutions using Salesforce Data Cloud to unify, activate, and analyze customer data across channels
Lead the deployment and orchestration of autonomous agents, such as Agentforce, to automate workflows, enhance user experiences, and drive operational efficiency
Architect AI/ML-enabled features within Salesforce, including predictive analytics, intelligent routing, and generative AI applications
Build scalable data pipelines and APIs to support real-time and batch data flows between Salesforce and other enterprise systems
Collaborate with data scientists and analysts to operationalize models within Salesforce workflows and ensure business impact
Own the full development lifecycle: from design and prototyping to implementation, testing, deployment, and support
Ensure data governance, security, and compliance across all integrations and AI applications
Establish and enforce engineering best practices, including CI/CD, testing, documentation, and performance optimization
Mentor junior engineers and foster a culture of innovation and technical excellence
Stay current with Salesforce platform updates, AI/ML trends, and data technologies to inform roadmap and strategy

What we offer

401k plan with employer match
flexible paid time off
holidays
parental leaves
life and disability insurance
health benefits including medical, dental, vision, and prescription drug coverage

Fulltime

Delivery Lead (Data & AI Transformation)

As Google Cloud's premier partner in AI and Data Transformation, we provide worl...

Location

United Kingdom , London

Salary:

Not provided

Datatonic

Expiration Date

Until further notice

Requirements

Multiple years of experience within a consulting firm, Big Four or Technical Consultancy or software vendor focused on complex enterprise transformation
Experience managing large-scale data and/or AI transformation programs (million+ dollar scope, multi-year duration, involving 10+ team members)
Proven expertise in the pre-sales and commercial process, including SOW creation, deal structuring, and managing scope through contracts
Exceptional senior and executive stakeholder management experience, with the ability to communicate complex technical roadmaps into clear business language
Demonstrated commercial acumen and experience with financial management, forecasting, and P&L tracking for professional services engagements
Deep understanding of Agile and hybrid ways of working, particularly in the context of enterprise data programs
Agile Project Management, Prince2, or Scrum certification
Experience with JIRA or similar ITS software
A natural, engaging, and highly effective communicator and negotiator

Job Responsibility

Drive strategic alignment of technical delivery roadmaps to client’s strategy focussing on measurable business objectives
Become an expert in one of Datatonic’s core verticals: Telecommunications, Agency, Media & Entertainment, and Financial Services & Insurance
Define large transformation programmes including design of operating models and change management
Lead the execution of large, complex data and AI transformation programmes (involving multiple concurrent workstreams like Data Engineering, ML/AI, and Analytics), ensuring on-time, on-budget, and high-quality delivery
Relentlessly focus on maximizing ROI by linking technical deliverables directly to measurable business outcomes and tracking value realisation post-deployment
Apply and improve appropriate delivery methodologies (Agile, hybrid, Waterfall) suitable for large enterprise environments, acting as a change agent within the client's organisation
Take full financial ownership of the P&L for our accounts, managing budget, forecasting revenue, tracking resource burn, and driving high margins and profitability
Own account health, proactively driving renewals and upselling opportunities to grow the account, identifying and managing key stakeholders, financial forecasts, and strategic risks (RAID management) across the entire portfolio
Manage communications and expectations at the executive and C-suite levels (client-side and internal), maintaining high levels of customer satisfaction and trust
Design and implement effective project governance systems appropriate for large enterprise engagements

Fulltime

Data & AI Transformation Lead Senior Vice President

We are seeking an exceptional Senior Vice President to serve as the senior techn...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of progressive experience in technology, with a significant portion in senior technical leadership roles — and a continued, active hands-on involvement in software development
Java Expertise: Expert-level background in Java, including designing and building resilient, high-throughput distributed systems and microservices architectures. Must be comfortable writing and reviewing production code
Big Data Mastery: Deep, hands-on expertise in modern Big Data platforms using technologies such as Apache Spark, Kafka, Presto/Trino, and distributed data lakes or lakehouses
Transformation Track Record: Demonstrated success leading complex, multi-year legacy modernization and re-engineering programs from concept to production in a global enterprise environment
Change Leadership: A proven change agent with the ability to shift engineering culture, introduce modern practices, and bring teams along on a transformation journey
Leadership: Exceptional organizational leadership skills with experience managing and developing multiple teams of senior engineers, architects, and technical leads
Prompt Engineering & AI Tooling: Deep, practical experience with prompt engineering and hands-on use of AI-assisted development tools (e.g., GitHub Copilot, Claude, OpenAI Codex, Devin) to drive engineering productivity and code quality at scale
Financial Domain: Experience in financial services, particularly in trading systems, post-trade processing, sub-ledger accounting, or risk platforms
Cloud Platforms: Experience with public or private cloud platforms (AWS, GCP, Azure) and their associated data and compute services
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience

Job Responsibility

Be an active, hands-on contributor to the codebase — designing, building, and reviewing new Java microservices that replace legacy components
Lead the re-engineering of the existing Oasys codebase, breaking down monolithic structures and migrating business logic into a modern, event-driven microservices architecture
Establish and enforce application methodologies and standards for program analysis, design, coding, testing, and implementation across the engineering organization
Analyze complex business processes, system workflows, and industry standards to define solutions to high-level problems, particularly in the context of post-trade processing and financial accounting
Serve as the organization's champion and change agent for AI-assisted software development, driving the adoption of tools such as GitHub Copilot, Claude, OpenAI Codex, and Devin across the engineering team
Bring deep, practical expertise in prompt engineering and apply it to accelerate development workflows, improve code generation quality, and automate repetitive engineering tasks
Lead by example — demonstrating how AI tooling can be integrated into day-to-day development practices to meaningfully improve productivity and code quality
Lead the design and delivery of the new Oasys platform in parallel with the Sybase IQ exit, overseeing the build-out of high-throughput data pipelines, distributed data stores, and scalable data processing frameworks
Drive the integration of new systems and functions to meet strategic goals, deploy new capabilities, and continuously enhance processes
Utilize advanced knowledge of the Oasys system flows and a comprehensive understanding of multiple technology domains to achieve transformation milestones on time and at scale

Fulltime

Lead Data Engineer - AI Search

We are looking for a Lead Data Engineer — AI Search (all genders) to join Valtec...

Location

France , Paris

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

7+ years of professional software engineering experience in enterprise environments
Strong expertise in Google Cloud Platform (GCP) and AI ecosystems
Experience with AI Search, conversational AI, and generative AI integrations
Strong application architecture, API design, and enterprise integration experience
Solid understanding of cloud-native, microservices, and event-driven architectures
Experience with CI/CD pipelines, software quality, observability, and cloud security best practices
Experience working with Kubernetes and Infrastructure as Code
Technical leadership experience, including mentoring engineers and guiding technical decisions
Ability to collaborate across architecture, engineering, cloud, and data teams
Strong communication and stakeholder management skills

Job Responsibility

Define detailed technical design, components, interfaces, and integration patterns
Lead development teams and enforce engineering standards and best practices
Coordinate architecture, cloud/platform, data, QA, and business stakeholders
Ensure delivery quality through testing, observability, and application security practices
Guide teams on GCP and AI Search implementation patterns
Lead technical discovery, estimation, and solution design workshops
Identify technical risks and propose mitigation strategies early
Ensure scalable, reliable, and production-ready AI solutions
Contribute hands-on in complex and high-impact technical areas
Support industrialization and operationalization of AI and search use cases

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Lead, Data Governance & AI Readiness

We are looking for a senior leader to own the Data Trust and Governance on Custo...

Location

United States , New York

Salary:

185000.00 - 205500.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

8+ years of experience in data governance, data quality, metadata management, master data management, data stewardship, or related disciplines
10+ years of overall professional experience across data, analytics, data platforms, data engineering, or closely related domains
Master's degree in computer science, engineering, information systems, or a similar field
Proven track record of driving cross-functional alignment across engineering, analytics, data science, product, operations, and business teams
Deep understanding of modern data models, critical data elements, metrics, lineage, metadata, context, semantic, and data lifecycle management
Experience defining and operationalizing data quality controls, observability requirements, service levels, issue management, and trust scorecards
Strong understanding of how data must be structured and governed for both analytics use cases and AI or agentic system consumption
Ability to operate independently and bring structure to ambiguous, complex problem spaces
Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders

Job Responsibility

Establish and Enforce Data Quality and Trust
Govern the Shared Operational Foundation for Analytics and AI
Data Observability, Timeliness, and Reliability
Master Data, Metadata, and Business Semantics
Metric Definition, Lineage, and Grounding to Source Facts
Agentic AI and Analytics Readiness Governance
Operational Governance Alignment and Adoption
Drive Data Modernization and Shift-Left Governance
Govern Cost, Security, and Lifecycle Management

What we offer

Bonus program
Equity award
401(k) plan
Various benefits (see link https://jobs.uber.com/en/benefits)

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

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AI & Data Lead

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