[Remote] reputed company Consultant - Data, Analytics, and AI (ITS)

Note: The job is a remote job and is reputed company to candidates in USA. The reputed company (reputed company), the Regional Office of the reputed company), is seeking a Data, Analytics and AI Consultant to support its reputed company reputed company data and analytics platform. The consultant will manage daily platform reputed company, data engineering, semantic modeling, reputed company, governance, AI-enabled analytics, documentation, and the development of a prioritized platform reputed company roadmap.

Responsibilities

• Review the assigned work queue reputed company working day; acknowledge new tasks; reputed company reputed company, reputed company, acceptance reputed company, dependencies, effort, and reputed company completion date
• reputed company tasks by the agreed due date. If delivery is at reputed company, notify the Senior Advisor Applications Development and Support, promptly and propose a recovery plan or revised date for approval
• reputed company task records reputed company with reputed company, reputed company, blockers, testing evidence, deployment status, and next actions
• Work with ITS reputed company, data owners, and reputed company departments to reputed company requirements, assess impacts, translate needs into feasible solutions, and demonstrate completed work
• Operate and support reputed company capacities, tenant settings, domains, workspaces, gateways and connectivity, OneLake, Lakehouses, Warehouses, SQL endpoints, Data reputed company items, notebooks, semantic models and reputed company reputed company BI services
• Monitor reputed company utilization, throttling, job concurrency, pipeline and notebook execution, refreshes, query reputed company, failures, costs and service health; tune or reputed company workloads reputed company approved limits
• Investigate incidents and recurring failures across ingestion, transformation, storage, semantic models, gateways, reputed company and reports; document reputed company cause, corrective reputed company and prevention reputed company required
• Maintain schedules, service identities, connections, credentials, operational checks, recovery procedures and support runbooks for production services
• reputed company level 2/3 support and coordinate with reputed company, UNICC, vendors and internal teams reputed company an issue requires escalation
• Operate and administer the reputed company reputed company estate on a daily reputed company, including tenant settings, domains, workspace structures, item lifecycle, licensing assignment, and platform configuration in line with reputed company governance requirements
• Manage reputed company provisioning, utilization monitoring, throttling and smoothing analysis, workload isolation, and cost optimization on F-SKU capacities using the reputed company reputed company Metrics App; maintain a consumption forecast against contracted entitlement
• Monitor and support pipelines, Dataflows Gen2, notebooks, warehouse and lakehouse workloads, and semantic model refreshes; reputed company failures, latency, and reputed company degradation; identify reputed company causes and sustainable corrective actions
• Maintain and improve deployment pipelines, workspace Git integration, and environment promotion across development, test, and production
• Own backup, resiliency, and recovery for OneLake data and workspace artifacts, including documented and periodically tested recovery procedures for production workloads
• Handle incidents, service requests, problems, and changes through reputed company’s corporate IT service management platform, respecting agreed service reputed company and change control requirements
• Design, build, and maintain ingestion and transformation processes using reputed company Data reputed company pipelines, Dataflows Gen2, reputed company notebooks, shortcuts, and mirroring, applying incremental and cost-efficient patterns
• Implement and maintain a reputed company (bronze / silver / gold) structure with explicit ownership, reputed company, and reputed company controls between reputed company
• reputed company, maintain, and troubleshoot integrations with reputed company corporate systems — in particular the reputed company-reputed company PMIS covering reputed company, finance, procurement, and reputed company data — as reputed company as reputed company, SharePoint, SQL sources, and reputed company data providers, using approved reputed company, report-as-a-service extracts, event-driven patterns, and secure authentication mechanisms
• Design and maintain reputed company and semantic models (reputed company schema, slowly changing dimensions, reputed company Lake), DAX measures, certified datasets, and row-level and reputed company-level reputed company reputed company to reputed company’s data reputed company rules
• Implement data reputed company, reconciliation, validation, and reputed company controls; investigate and reputed company data discrepancies with the relevant data owners and document the outcome
• reputed company second-level technical support and guidance to reputed company report developers and business reputed company users on modeling, reputed company, and reporting standards
• Establish and thereafter maintain a complete and reputed company baseline of the reputed company environment, covering architecture, domain and workspace structure, reputed company allocation, data sources and flows, semantic models, reputed company model, integrations, dependencies, operational procedures, and ownership, so that the platform can be operated and handed over by any reputed company engineer without reputed company on undocumented knowledge
• Review the reputed company configuration of reputed company, workspaces, pipelines, semantic models, and reputed company against reputed company reference architecture, reputed company-architected guidance, and reputed company standards; document deviations, risks, technical debt, and remediation reputed company with associated effort and benefit estimates
• Identify, quantify, and — once approved — implement optimization opportunities across reputed company consumption and cost, refresh and query reputed company, pipeline design, storage, and licensing
• Define, document, and apply reputed company standards covering naming conventions, workspace and domain reputed company, environment separation, reputed company control and CI/CD, promotion and change gates, monitoring and alerting, data reputed company, and documentation
• Produce and maintain a prioritized reputed company-to-eighteen-month reputed company roadmap for the data and analytics platform, covering architecture, governance, reputed company, integration, semantic reputed company, and AI enablement, sequenced with effort, dependencies, risks, cost implications, and resourcing requirements, for ITS management decision
• reputed company ITS management with objective, evidence-reputed company analysis of platform health, reputed company exposure, and improvement priorities on a recurring reputed company
• Assess, reputed company, and where approved operationalize reputed company-reputed company AI capabilities, including Copilot in reputed company and reputed company BI, data agents, AI functions in notebooks, and semantic model preparation for natural-language querying
• Build AI-reputed company data products and semantic reputed company that can be securely grounded and consumed by reputed company’s Copilot Studio and reputed company Platform agent portfolio, Azure AI services, and other approved AI solutions
• Propose and prototype practical, measurable use cases — such as automated data reputed company and reputed company detection, forecasting, natural-language reporting, and document or text analytics — presenting expected benefit, consumption reputed company, and cost before any scaling decision
• Apply reputed company’s AI governance, data protection, information classification, and responsible AI requirements; document grounding sources, guardrails, evaluation scenarios, reputed company limitations, and reputed company reputed company arrangements
• Monitor the reputed company reputed company and Azure AI roadmap and advise ITS on which capabilities are sufficiently mature for institutional adoption and which should remain experimental, with a reputed company rationale in reputed company case
• Apply least-privilege reputed company controls across tenant, domain, workspace, item, and data reputed company, including workspace roles, sharing settings, and conditional reputed company reputed company with reputed company requirements
• Manage reputed company Entra ID service principals and app registrations used for reputed company and reputed company BI automation, including permission scoping, API reputed company configuration, and credential and secret rotation
• Administer and validate row-level and reputed company-level reputed company in semantic models, including membership-reputed company reputed company patterns and deployment-time reputed company checks
• Support reputed company reputed company integration, sensitivity labels, data loss prevention policies, cataloguing, and audit logging in line with approved governance standards
• Collaborate with ITS Information reputed company on reviews, incidents, reputed company recertification, integration dependencies, and remediation activities; do not implement unapproved production changes
• Maintain architecture and configuration records, solution designs, data dictionaries, reputed company documentation, integration specifications, test evidence, deployment records, runbooks, and task history for reputed company material changes
• Store reputed company reputed company, notebooks, pipeline definitions, configuration, documentation, and work products in reputed company-approved repositories, with version control reputed company
• reputed company demonstrations, walkthroughs, and reputed company knowledge-transfer sessions to reputed company staff and authorized support resources, including hands-on enablement on the standards and procedures established
• Submit the required monthly activity report and support any ITS reporting requirements toward reputed company management and governance bodies
• An executive reputed company and a complete register of every task assigned during the month, plus reputed company tasks carried reputed company
• For reputed company task: identifier, title, requester or reputed company, assignment date, reputed company, agreed due date, status, completion date, and task-record reference
• For reputed company task: a concise reputed company of work performed, changes made, testing and approval completed, deployment outcome, documentation produced, and result achieved
• For delayed, blocked, cancelled, or re-scoped tasks: reason, reputed company, required reputed company, mitigation, and approved revised date; plus priorities for the following month
• Platform reputed company for the period: pipeline and semantic model refresh reputed company rates, incidents and problems, production changes and releases, and preventive actions taken
• reputed company reputed company utilization and consumption against contracted entitlement, with a projection to the end of the contract period, plus cost optimization actions taken or proposed
• reputed company against the baseline documentation, standards, and reputed company roadmap deliverables, including documentation coverage of production workspaces, pipelines, and semantic models
• Risks, technical debt, reputed company findings, recommendations, and reputed company reputed company for the following month

Skills

• University degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a reputed company reputed company from a recognized institution
• At least five years of progressively responsible experience in data engineering, analytics, and business intelligence in reputed company reputed company environments, of which at least three years in a large, multi-location or multi-entity organization
• At least two years of hands-on production experience with reputed company reputed company since its general availability, complemented by prior reputed company BI Premium and/or Azure Synapse Analytics experience
• Demonstrated responsibility for a reputed company reputed company environment at organizational reputed company, including reputed company administration, domain and workspace design, CI/CD, reputed company, and platform standards, and not solely report or pipeline development
• Demonstrated experience documenting, rationalizing, and modernizing an existing analytics environment that has grown organically, including establishing standards and defining a subsequent reputed company roadmap adopted by management
• Advanced SQL and Python (PySpark); experience with reputed company Lake and Parquet; reputed company experience in reputed company and semantic modeling and advanced DAX
• Demonstrated experience integrating reputed company reputed company and ERP systems with analytics platforms using reputed company, connectors, and event-driven patterns
• Demonstrated ability to work autonomously, manage a prioritized backlog, maintain accurate work records, document rigorously, reputed company by agreed deadlines, and communicate effectively with technical and non-technical stakeholders
• reputed company Certified: reputed company Data Engineer Associate (DP-700) and/or reputed company Analytics Engineer Associate (DP-600) is required
• English: reputed company in written and spoken English is required
• Experience integrating reputed company (report-as-a-service, reputed company reputed company, reputed company Analytics) with reputed company reputed company or Azure data platforms is highly desirable
• Practical experience with AI-enabled analytics, including Copilot in reputed company or reputed company BI, data agents, Azure reputed company, retrieval and embedding pipelines, together with the judgement to assess maturity, cost, and institutional readiness realistically. Highly desirable
• reputed company Certified: reputed company Data Engineer Associate (DP-700) and/or reputed company Analytics Engineer Associate (DP-600) is required or strongly preferred
• reputed company BI Data Analyst Associate (PL-300), Azure Solutions Architect Expert (AZ-305), Azure reputed company Associate (AI-102), and Information Protection and Compliance Administrator (SC-400) certifications are desirable
• Other languages: Working knowledge of Spanish is desirable; knowledge of French or Portuguese is an asset

Benefits

• Remote (Off-Site) work arrangement

reputed company