Minor Hotels Europe and Americas

Data Analyst

• Collect, clean, and validate large datasets generated by routers, switches, wireless systems, and other network devices.
• Perform exploratory data analysis (EDA) to identify usage patterns, performance bottlenecks, and failure trends.
• Build dashboards, automated reports, and data visualizations to support product, engineering, and support teams.
• Translate technical data findings into clear, business-focused recommendations.
• Interpret data from routers, switches, and wireless controllers for analytics purposes.
• Assist in validating data accuracy related to network configurations and performance metrics.

Data Engineer

• Performing development using client's standards and procedures, maintaining code and version control through Github
• Manage projects thru inception, elaboration, development, testing, and implementation with the help of other assigned resources
• Using various tools: Elixir, Erlang VM, Node.js, Javascript/JQuery/Ajax/JSON, D3.js, C#, ASP.NET, T-SQL, MS SQL 2008- MS SQL 2014, Couchbase, HTML 5, Domain Driven Design, NoSQL
• Completing Unit Testing and participating in Peer/Code Reviews of other developers work
• Providing advanced troubleshooting user support working with end users at all levels of the organization
• Provide support for the various Integration Platforms utilized by HCA which includes Cloverleaf, Mulesoft, MoveIT, Microsoft Biztalk, as well as internally Developed platforms such as Waterpark, FHIR services, and FAUX.

Senior Data Engineer – Cloverleaf SME

Backend Engineer

• Designing, building, and maintaining efficient, reusable and reliable code for Embedded systems
• Applying scientific methods to analyse and solve software engineering problems
• Responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance
• Exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers
• Building skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role
• Collaborating and acting as team player with other software engineers and stakeholders

C++ Developer

Customer Success Manager

• Contribute to the development of the relationship with the Client through the implementation of CRM strategies
• Execute multichannel Marketing communication plans targeted at Clients
• Develop and implement multichannel direct marketing campaigns (segmentation, selection, analysis, and reporting)
• Ensure continuous improvement and optimization of direct marketing processes, aiming to maximize campaign ROI

Security Engineer

• Leadership and Consulting within SAP S/4HANA projects around Security and Controls
• Lead technical delivery of security solution within a project
• Performing GRC configuration and use of GRC tools in the creation and maintenance of security roles
• Interact with users from various functional and technical areas
• Participate in the design of SAP Architecture
• Build strong and enduring client relationships

Senior SAP Security Consultant

Data Scientist

• Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
• Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
• Visualize, interpret, and report data findings
• Manage a team of data scientists and provide technical guidance, mentorship, and coaching to ensure team members professional development and growth
• Drive cross functional alignment with teams across sales, engineering, product, marketing, etc. to advance strategic priorities for our customers

Lead Data Scientist

Consultant

• Serve as a clinical data specialist for pharma and biotech clients, enabling CDISC-compliant, analysis-ready datasets across the clinical lifecycle
• Partner with Principals and Managers on EDC platform optimization, clinical data management process improvement, and clinical database architecture, while ensuring data quality, traceability, and regulatory readiness
• Assess current-state processes; identify gaps and design future-state workflows (build, cleaning, queries, lock)
• Collaborate with biostatistics on derived endpoints and analysis-ready datasets
• Prepare submission artifacts (reviewer’s guides, Define.xml, annotated CRFs) aligned with FDA/EMA expectations
• Mentor junior consultants on CDISC, EDC capabilities, and data quality
• Support recruiting with technical interviews and candidate assessments

Senior Consultant – Life Sciences, Clinical Data & Applications

Product Manager

• Manage the product roadmap and backlog for all digital products
• Oversee and manage lead requirements discovery, solution design, user story writing, feature development, and user acceptance testing
• Partner with the executive teams to identify key capabilities needed and potential issues
• Manage the roadmap and backlog to ensure that IT delivers capabilities on time
• Work with product marketing to develop positioning and messaging
• Monitor and evaluate product performance for constant iteration and improvements

Senior Product Owner

Cloud Engineer

• Design and implement secure, scalable, and compliant data architecture on Microsoft Azure
• Ensure data integrity, privacy, and trust across all cloud-based solutions while driving governance and compliance strategies
• Collaborate with stakeholders to define frameworks, optimize data pipelines, and integrate advanced Azure services for trusted data operations
• Lead enterprise‑level data architecture strategy and implementation, ensuring scalable, secure, and high‑performance data pipelines and analytics solutions
• Define end‑to‑end data architecture leveraging Azure Data Factory for orchestration, Azure Databricks for data processing and advanced analytics, and Delta Lake for Lakehouse storage
• Design and develop enterprise data models, Lakehouse schemas, and data governance frameworks aligned with organizational standards
• Implement and enforce data governance and metadata management practices using Azure Purview across multiple enterprise implementations
• Optimize Databricks clusters and ADF pipelines for performance, reliability, and cost efficiency
• Establish and maintain data quality management frameworks, ensuring accuracy, consistency, and reliability of enterprise data
• Collaborate with stakeholders to translate business requirements into scalable data solutions and lead technical design discussions

Azure Architect – Data Security, Governance

Architect

• Architect and lead development of robust, scalable UI solutions using React.js.
• Utilize advanced Palantir Foundry capabilities including OSDK (Developer Console), Ontology Manager, Code Repositories, and Code Workbooks.
• Define and enforce UI security standards, including secure linting rules such as eslint-plugin-react-security.
• Design and implement secure Authentication (AuthN) and Authorization (AuthZ) flows using OAuth2, OpenID Connect, and Role-Based Access Control (RBAC).
• Build responsive, high-performance UI applications using deep knowledge of JavaScript, DOM manipulation, and modern React principles.
• Collaborate with product owners, backend engineers, and Foundry teams to align on requirements and technical roadmap.

Foundry UI Architect

Artificial Intelligence

• Develop and apply agentic AI solutions in diverse domains
• Design, develop, integrate, deploy, and maintain AI-driven systems at scale
• Collaborate on AI technical challenges and offer innovative solutions
• Conduct research and analyze code for AI applications

AI Professional

• Collaborate with product managers and peers to execute on a broad range of projects for digital products
• Responsible for future enhancements and technical solutions
• Work closely within a cross functional Agile delivery team to understand requirements
• Break down a product vision into workable technical solutions
• Build high quality software for large scale and highly available systems
• Provide strong technical and team leadership

Senior Java Developer

LLM Engineer

• Developing GEN AI solutions and predictive AI models, deploying them in production environments
• Driving the integration of AI technologies across business operations
• Collaborating with diverse teams to design solutions that deliver tangible business value through AI-driven insights
• Application Architecture Design, Development, & Integration
• AI & Machine Learning Models Development
• Model Deployment & Maintenance
• Emerging Technologies
• Collaboration & Communication

Generative AI Engineer

• Establish Martech & AdTech Architecture across content, marketing automation, AI, data, and customer journeys (Adobe Experience Cloud, Salesforce Marketing Cloud, Google Marketing Platform)
• Define the Digital Experience Platform (DXP) Roadmap including headless/headful AEM, content architecture, and AI-infused experiences
• Lead AI Adoption Strategy for marketing and software development (Agentic AI using OpenAI, Anthropic, Vertex, Bedrock)
• Provide thought leadership on future-state content, personalization, Martech, and data trends
• Orchestrate personalization frameworks, marketing automation, and measurement systems
• Partner with business marketing teams to translate use cases into scalable Martech designs & roadmaps
• Guide implementation teams and set standards for quality, security, scalability, and performance
• Support presales POVs, contribute to solutioning, and evangelize best practices across stakeholders

Chief Architect – MarTech

Machine Learning Engineer

• Apply machine learning techniques and algorithms to solve complex problems
• Analyze data and develop intelligent systems
• Help clients navigate the landscape of AI