Genesis Digital Solutions

• Performing regular security assessments of Copilot deployments, identifying risks such as prompt injection, model tampering, and data poisoning. • Designing and implementing secure architectures using Identity and Access Management, Conditional Access, and Zero Trust principles. • Developing threat models and executing security testing, including controlled red-team activities. • Building monitoring capabilities, detecting anomalies, and responding to security incidents related to Copilot usage. • Providing advanced (3rd level) support for complex security, performance, and usage issues. • Enabling support teams through documentation, guardrails, training, and definition of escalation processes. • Defining and enforcing security policies, controls, and operational guardrails for Copilot environments. • Assessing security of custom plugins and third-party integrations. • Analyzing data flows and validating encryption and data protection mechanisms.

• Designing and maintaining information classification frameworks aligned with Copilot requirements • Implementing and managing classification taxonomies using Microsoft Purview • Configuring and optimizing Sensitivity Labels to control data access and Copilot usage • Developing and maintaining automated data classification and labeling policies • Defining and managing Data Loss Prevention (DLP) policies to protect sensitive and regulated data • Monitoring governance controls and ensuring audit readiness through Purview Audit Logs and eDiscovery • Collaborating with IT Security, Compliance, Legal, and business stakeholders to align governance strategies • Supporting continuous improvement of data protection and information governance practices

• Provide application support for solutions built with Microsoft Power Apps, primarily Model-Driven Apps. • Analyze, resolve, and follow up on incidents and functional enhancement requests. • Develop, maintain, and optimize workflows using Power Automate. • Model, manage, and maintain data structures within Dataverse. • Support the functional evolution and continuous improvement of existing Power Platform solutions. • Collaborate closely with functional and technical teams to ensure solution stability and alignment with business needs. • Document solutions, configurations, and best practices. • Interact with end users, providing support, guidance, and clarification when needed.

• Collaborate closely with Data Engineers and business stakeholders to define and validate curated datasets optimized for analytics and AI use cases. • Specify and document data requirements, feature definitions, and aggregation logic for downstream analytical and machine learning applications. • Validate data completeness, consistency, and statistical soundness of serving-layer datasets. • Provide continuous feedback to data engineering teams on data model usability, performance, and analytical fitness. • Perform exploratory data analysis (EDA) to identify patterns, anomalies, and data quality issues. • Build and test baseline machine learning models and analytical prototypes using curated datasets. • Contribute to the design and implementation of lightweight ML pipelines (training, evaluation, inference) aligned with platform standards. • Ensure features and models are reproducible, versioned, and prepared for future operationalization in production environments.