Rackspace

<b>Employment Type: Full-Time</b><b>Experience Level: 8–10 Years</b><b>Shift: 4:30 PM – 1:00 AM IST (Mandatory Overlap with US Hours)</b><b>Role Summary</b>We are seeking a Senior BI Platform Engineer with strong hands-on expertise in Sigma Cloud, Power BI, and Tableau administration to manage and optimize enterprise BI platforms.The role focuses on platform stability, governance, automation, performance optimization, and production support. The candidate will work closely with US stakeholders during overlapping hours and act as the primary escalation point for BI platform-related incidents.<h3>Roles &amp; Responsibilities (R&amp;R)</h3><ul><ul><li><b>1)     Sigma Cloud Administration</b></li><li>Administer and manage Sigma Cloud environment including user provisioning, role-based      access, and governance.</li><li>Manage warehouse connections (Snowflake / cloud DW integrations).</li><li>Monitor query performance and cost governance.</li><li>Troubleshoot dashboard performance, model-level issues, and data refresh failures.</li><li>Implement SSO and authentication integrations (Okta / Entra ID).</li><li>Coordinate  with Sigma support for escalations and product issues.</li><li><b>2)     Power BI Administration</b></li><li>Administer Power BI Service, workspaces, and capacities.</li><li>Manage licenses, roles, RLS policies, and Service Principals.</li><li>Maintain and monitor Gateways.</li><li>Support  Fabric capacities (if applicable).</li><li>Automate tasks via Power BI REST APIs.</li><li>Perform RCA for refresh failures, dataset performance issues.</li><li>Coordinate Microsoft support tickets when required</li><li><b>3)     Tableau Administration</b></li><li>Manage Tableau Cloud / Server environments.</li><li>User access management and license governance.</li><li>Maintain Bridge nodes (if applicable).</li><li>Perform version upgrades and patching.</li><li>Monitor extract refresh failures and server performance.</li><li>Automate processes using Tableau REST API / TSC.</li><li>Handle vendor escalations and performance troubleshooting.</li><li><b>4)     Governance, Monitoring &amp; Support</b></li><li>Own  platform health monitoring across all BI tools.</li><li>Conduct root cause analysis for dashboard/report failures.</li><li>Ensure SLA adherence during support window (4:30 PM – 1:00 AM IST).</li><li>Maintain SOPs and documentation.</li><li>Collaborate with data engineering teams for data pipeline troubleshooting.</li><li>Communicate outages, planned upgrades, and platform advisories.</li></ul></ul><h3>Core Technical Skills</h3><ul><ul><li>Sigma Cloud Administration (Must Have)</li><li>Power BI Service / Gateway / Fabric</li><li>Tableau Cloud / Server</li><li>REST API-based automation (preferred)</li><li>Entra ID / Okta SSO Integration</li><li>Jira/ ITSM tools</li><li>Snowflake exposure (preferred)</li><li>Python or PowerShell scripting (good to have)</li></ul></ul><h3>Basic Qualifications</h3><ul><ul><li>8+ years of experience in BI platform engineering or administration.</li><li>Hands-on production support experience in enterprise BI environments.</li><li>Experience managing US stakeholders / working in US overlap shifts.</li><li>Strong troubleshooting and RCA capability.</li><li>Excellent communication skills.</li></ul></ul>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior BI Platform Engineer

Senior Licensing Manager Shift : Shift  (6:30 PM – 3:30 AM IST)Job Summary:We are seeking a highly experienced and detail-oriented <b>Senior Licensing Manager </b>to oversee the procurement, compliance, optimization, and renewal of software licenses across the organization. This role is critical in ensuring the cost‑effective use of software assets, maintaining adherence to vendor licensing agreements, and upholding internal IT governance standards.The Senior License Manager will ensure full alignment with contractual entitlements, lead audit and compliance activities, and drive SAM (Software Asset Management) excellence across both on‑premises and cloud environments.This role will collaborate closely with Procurement, IT, Finance, Legal, and Vendor Management teams to manage the complete lifecycle of Tier 1 and Tier 2 software publishers, including Microsoft, Oracle, VMware, Adobe, and others—while ensuring accurate tracking, reporting, and optimization of software assets.Key Responsibilities:·       Monitor and manage software license compliance across multiple vendors (e.g., Microsoft, VMware, Adobe, Citrix).·       Ensure alignment with contractual terms and internal usage policies.·       Coordinate internal audits and support vendor audits with accurate license data.·       Track license entitlements, deployments, and usage throughout the software lifecycle.·       Maintain up-to-date records in software asset management tools (e.g., ServiceNow, Flexera, Snow).·       Work with IT operations to identify underused or overutilized assets for optimization.·       Support license procurement and renewal processes in collaboration with procurement and legal teams.·       Interpret complex license agreements and advise on best practices for use.·       Liaise with vendors and resellers for quotes, renewals, true-ups, and support escalations.·       Prepare usage reports, license position summaries, and compliance dashboards.·       Recommend cost-saving opportunities by identifying redundant or unused licenses.·       Support internal chargeback processes for license usage reporting.·       Contribute to the refinement and automation of software license tracking processes.·       Assist in developing standard operating procedures and knowledge base documentation. Knowledge·       Expert-level Microsoft Excel skills: Pivot Tables, Power Query, XLOOKUP, INDEX/MATCH, logic modeling, and advanced formulas.·       Proven ability to develop large-scale licensing models in both manual Excel-driven environments and SAM tool–enabled environments.·       Deep understanding of Microsoft, Oracle, VMware, Adobe, and other vendor licensing models.·       Knowledge of cloud licensing: M365, Azure, AWS consumption models.·       Understanding of virtualization technologies and their licensing impact (VMware, Hyper‑V).·       Strong analytical, reporting, and data validation skills.·       Strong communication and stakeholder management capabilities.<h3>Required Qualification</h3><ul><ul><li>Bachelor's degree in IT, Business Administration, or a related field.</li><li>Minimum 5–7 years of experience in software license management or software asset management (SAM).</li><li>Strong knowledge of license models (e.g., Microsoft, VMware, Oracle, Adobe).</li><li>Familiarity with software asset management platforms (e.g., ServiceNow, Snow, Flexera).</li><li>Understanding of ITIL practices and software lifecycle concepts.</li><li>Intermediate to advanced Excel skills, including strong command over formulas, logic, and data analysis.</li><li>Ability to analyze large datasets and prepare reports.</li><li>Good negotiation and communication skills for working with vendors and stakeholders.</li>Preferred Qualifications:<li>Certifications such as Microsoft SAM, ITIL Foundation, ISO 19770, or CSAM (Certified Software Asset Manager).</li><li>Experience with cloud licensing models (e.g., Office 365, Azure, AWS).</li><li>Exposure to compliance audits and true-up processes.</li></ul></ul>"Remote postings are limited to candidates residing within the country specified in the posting location"<b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Licensing Manager

<b>About the Role: </b><b>Location:</b> Remote (US) + Travel to client sites up to 40% | <b>Department:</b> Private Cloud, Data &amp; AI | <b>Reports To:</b> VP, Data &amp; AI | As a <b>Forward Deployed Engineer</b> (FDE) for Data Migration &amp; Data Consolidation Platforms, you will serve as the hands-on technical lead driving enterprise-scale data transformation engagements. You will own the end-to-end execution of complex data migrations, multi-system consolidations, and platform modernization initiatives for Global Enterprises and Industry Leaders navigating critical technology inflection points. Operating at the convergence of cloud architecture, data engineering, and direct client partnership, you will translate the capabilities embedded in our migration acceleration platform into production-grade, client-specific solutions.This role demands deep proficiency across legacy enterprise systems such as SAP ECC, Oracle on-premise, modern cloud data platforms, and AI-driven transformation tooling. You will function as both solution architect and hands-on implementer - owning migration strategy design, building automated data pipelines, and deploying ontology-driven integration frameworks that unify fragmented application landscapes into cohesive, consolidated business data models.<h3>Key Responsibilities: </h3><ul><ul><li><b>Migration Execution &amp; Cloud Architecture:</b> Lead end-to-end delivery of enterprise data migrations from corporate systems (SAP, Oracle, Epic ERP) to target cloud data platforms, including the design of cloud landing zones, data governance frameworks, and system rationalization strategies. Establish migration compliance controls, automated rollback procedures, and operational readiness gates while owning full technical accountability for 12–18+ month migration roadmaps.</li><li><b>Data Pipeline Engineering &amp; Transformation:</b> Build production-grade data connectors to SAP (RFC, IDoc, BAPI, OData), Oracle (AQ, GoldenGate, APIs), and SQL/non-relational sources. Develop ETL/ELT pipelines with LLM-enabled transformation logic, multi-layer validation and reconciliation frameworks, and optimized throughput for datasets scaling from tens of millions to billions of records with built-in CDC and incremental loading.</li><li><b>Ontology Layer Development &amp; Schema Automation:</b> Construct semantic ontology layers translating raw ERP structures into business-consumable objects (Customer, Order, Invoice, Product, Vendor, Asset). Deploy automated schema mapping agents for source-to-target analysis and transformation logic generation. Build unified master data models with row/column-level security, cross-system lineage tracking, and AI-ready semantic structures.</li><li><b>Application &amp; Workflow Delivery:</b> Build operational dashboards, migration control centers, and agent-driven workflows for automated validation, exception handling, and anomaly detection using low-code platform tools. Generate TypeScript/Python SDKs for custom integrations and deliver real-time monitoring and self-service interfaces for migration progress, data quality KPIs, and compliance tracking.</li><li><b>Multi-System Consolidation &amp; Master Data Management:</b> Lead consolidation of 5–15+ fragmented ERP instances into standardized master data models. Resolve complex entity resolution challenges including customer matching, product harmonization, and chart of accounts unification. Establish golden record frameworks, data quality scorecards, survivorship rules, and data stewardship workflows for post-migration governance.</li><li><b>Client Engagement, Discovery &amp; Modernization Advisory:</b> Serve as primary technical advisor to C-suite and enterprise architecture stakeholders across all engagement phases. Deploy discovery agents to analyze legacy data estates, conduct assessment workshops, facilitate solution design sessions, and deliver executive briefings, go/no-go readiness assessments, and prioritized modernization roadmaps.</li><li><b>Knowledge Transfer, Enablement &amp; IP Development:</b> Build reusable migration accelerators, playbooks, and reference architectures that scale across engagements. Lead knowledge transfer to upskill client teams for post-migration ownership and collaborate with internal product and sales engineering teams to feed field insights back into platform development and delivery methodology.</li><li><b>Leadership &amp; Executive Engagement:</b> Operate autonomously in ambiguous, high-stakes client environments, driving outcomes with minimal oversight; translate deeply technical concepts into clear, business-level narratives for C-suite audiences through executive briefings and stakeholder communications; navigate organizational complexity, competing stakeholder priorities, and enterprise change management dynamics to maintain momentum across multi-workstream engagements; mentor junior engineers, cultivate technical capability within delivery teams, and foster a culture of knowledge sharing and continuous improvement.</li></ul></ul><h3>Required Qualifications: </h3><ul><ul><li>7-10+ years of progressive experience in enterprise data engineering, data migration, or large-scale system integration roles within complex, multi-platform environments</li><li>3-5+ years directly leading end-to-end data migration or multi-system consolidation programs for Global Enterprises and Industry Leaders, with full ownership of technical delivery and client outcomes</li><li>Demonstrated client-facing experience serving as a trusted technical advisor to C-level executives, enterprise architecture teams, and cross-functional business stakeholders</li><li>Proven industry depth in at least two of the following verticals: Healthcare, Financial Services, Manufacturing, Retail, Energy &amp; Utilities, or Public Sector</li><li>Hands-on migration complexity: successfully delivered programs involving at least 3+ heterogeneous source systems, 100M+ records, complex master data harmonization, and multi-phase cutover execution</li><li>Advanced proficiency in Python and SQL with working experience in PySpark and TypeScript/JavaScript</li><li>Hands-on expertise with modern ETL/ELT and data integration platforms (Informatica, Talend, Matillion, Fivetran, AWS Glue, Azure Data Factory)</li><li>Proven ability to build scalable, version-controlled data pipelines with error handling, incremental loading, and Change Data Capture (CDC)</li><li>Strong working knowledge of at least one major cloud provider (AWS, Azure, or GCP), including core infrastructure, managed data services, and security configurations</li><li>Experience with enterprise data warehouse and lakehouse platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse Analytics, Delta Lake)</li><li>Familiarity with knowledge graph construction, semantic modeling, ontology frameworks (RDF, OWL), or platforms such as Neo4j, AI Foundry, or Stardog</li><li>Practical experience integrating LLMs or AI-driven tooling into data transformation, schema inference, or mapping workflows (OpenAI, Anthropic, AWS Bedrock)</li><li>Experience with low-code/no-code application platforms for rapid solution delivery (AI Foundry, Mendix, OutSystems, PowerApps)</li></ul></ul><h3>Preferred Qualifications: </h3><ul><ul><li><b>Certifications:</b> AI Foundry (Data Engineer, Ontologist, or Application Developer), SAP Certified Technology Associate/Professional, cloud architecture or data engineering credentials (AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer), or data governance/MDM certifications (CDMP, DAMA)</li><li><b>Advanced Technical Skills:</b> Deep, production-level knowledge of real-time event streaming platforms (Kafka, Kinesis, Event Hubs, Pub/Sub); demonstrated expertise with enterprise MDM platforms (Informatica MDM, SAP MDG, Profisee, Reltio); hands-on proficiency in API development, microservices architecture, and service mesh patterns; strong command of CI/CD pipelines and infrastructure-as-code tooling (Jenkins, GitLab CI, Azure DevOps, Terraform, ArgoCD); comprehensive understanding of data security, privacy, and regulatory compliance frameworks (GDPR, HIPAA, SOC 2, CCPA, FedRAMP)</li><li><b>Domain Knowledge:</b> Working understanding of financial close processes, supply chain operations, revenue cycle management, or procurement workflows; experience with industry-specific data standards (EDI, HL7, FHIR, SWIFT, XBRL); familiarity with process mining tools (Celonis, UiPath Process Mining, Signavio) and data observability, cataloging, and lineage platforms (Monte Carlo, Collibra, Alation, Apache Atlas)</li></ul></ul>#LI-Remote#LI-ASWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Forward Deployed Engineer - Data Migration &amp; Data Consolidation Platforms

<b>About the Role: </b><b>Location:</b> Remote (US) /Travel up to 25% | <b>Reports To:</b> VP, Data &amp; AI | <b>Job Level:</b> Senior / Principal (IC)As a <b>Sr. Forward Deployed Engineer</b> (Sr. FDE) at Rackspace Technology, you will be embedded directly with our most strategic enterprise customers to architect, build, and deploy high-impact AI solutions. This role combines deep technical engineering with business acumen, customer empathy, and end-to-end solution ownership. You become the technical bridge between Rackspace’s AI platform capabilities and the customer’s most pressing business challenges. You will own the full solution lifecycle from problem discovery and rapid prototyping through production deployment and continuous optimization while feeding field insights back to our product and platform engineering teams.  This role is ideal for someone who thrives at the intersection of engineering, strategy, and customer engagement and wants the autonomy and impact typically found at an AI startup, backed by the scale and resources of a global technology company.<h3>Key Accountabilities: </h3><ul><ul><li><b>Embed with strategic enterprise customers</b> to rapidly diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site.</li><li><b>Lead end-to-end solution design and delivery</b> of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications.</li><li><b>Drive rapid prototyping and POCs</b> that demonstrate tangible business value within days to weeks.</li><li><b>Serve as the primary technical owner</b> across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization.</li><li><b>Architect production-grade Enterprise AI applications</b> on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes).</li><li><b>Build scalable data pipelines</b> across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks.</li><li><b>Develop and fine-tune LLM/SLM solutions;</b> implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI).</li><li><b>Ship with full-stack and DevOps depth:</b> Python, <a href="http://Node.js/Go" rel="noopener noreferrer nofollow ugc" target="_blank">Node.js/Go</a>, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management.</li><li><b>Champion observability, monitoring, and telemetry</b> to ensure trustworthy, auditable, and versioned AI agents in production.</li><li><b>Identify expansion opportunities</b> by working with sales and customer success to uncover high-value use cases across new business domains.</li><li><b>Feed structured field insights</b> back to Platform Engineering and Product on feature gaps, emerging needs, and usability improvements.</li><li><b>Build reusable IP </b>through reference architectures, accelerators, frameworks, and technical best practices that scale future engagements.</li><li><b>Mentor engineers and customer teams,</b> driving knowledge transfer and building internal AI competencies.</li></ul></ul><h3>Preferred Qualifications: </h3><ul><ul><li>Experience with Palantir Foundry, AIP, ontology modeling, Uniphore BAIC, or similar Enterprise AI development platforms.</li><li>Knowledge of SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks.</li><li>Experience building agentic AI solutions: multi-agent systems, tool use, and autonomous workflow orchestration.</li><li>Familiarity with GPU infrastructure (NVIDIA H100/B200, InfiniBand) and private cloud platforms (OpenStack, VMware).</li><li>Foundry certifications from Palantir/Uniphore or AI/ML-related certifications.</li><li>Prior experience in technology consulting, AI startups, or Forward Deployed / Solutions Engineering roles.</li><li>Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing.</li><li>Experience with knowledge graphs, semantic modeling, and ontology-driven data management.</li></ul></ul><h3>Required Qualifications: </h3><ul><ul><li>BS/MS/PhD in Computer Science, Data Science, Engineering, Mathematics, Physics, or related field.</li><li>10+ years in software engineering, data engineering, or AI/ML delivery; at least 4+ years in customer-facing or field roles.</li><li>Proven track record in building and deploying AI/ML applications in production at enterprise scale.</li><li>Deep full-stack proficiency: Python (required), <a href="http://Node.js/Go" rel="noopener noreferrer nofollow ugc" target="_blank">Node.js/Go</a>, React/Vue, SQL/NoSQL databases.</li><li>Hands-on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks.</li><li>Strong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud-native deployment patterns.</li><li>Experience integrating across heterogeneous enterprise systems - ERP, data warehouses, data lakes, streaming architectures.</li><li>Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines.</li><li>Excellent communication skills - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration.</li><li>Willingness to travel up to 25% for on-site customer engagements.</li></ul></ul>#LI-Remote#LI-ASWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Sr. Forward Deployed Engineer - Private Cloud, Data &amp; AI Enterprise Solutions

As part of Rackspace Technology’s commitment to delivering exceptional customer outcomes, the <b>Vice President, Delivery</b> is responsible for the delivery and operations of our core Rackspace products and services. This leader will drive operational excellence across multiple simultaneous initiatives—from small engagements to complex, mission‑critical programs—ensuring best‑in‑class quality, efficiency, and customer value.The VP, Delivery will bring deep expertise in digital infrastructure, multi‑cloud environments, and service delivery, applying operational discipline that strengthens Rackspace’s market position and brand differentiation. This role is a key member of the Private Cloud Leadership Team, collaborating closely with cross‑functional executives to advance strategic and operational priorities.<b>ESSENTIAL DUTIES &amp; RESPONSIBILITIES</b><h3>Strategic Leadership &amp; Delivery Excellence</h3><ul><ul><li>Develop and execute delivery strategies aligned with organizational goals and growth priorities.</li><li>Build and optimize a high‑performing Global Delivery &amp; Operations engine focused on scalability, profitability, and customer satisfaction.</li><li>Drive initiatives that enhance service delivery efficiency, process excellence, and operational rigor through standardized operating models, KPIs, and governance.</li></ul></ul><h3>Operational Execution</h3><ul><ul><li>Oversee planning, execution, and completion of delivery engagements, ensuring on‑time, on‑budget, and high‑quality outcomes.</li><li>Implement robust quality control measures and continuous improvement practices.</li><li>Leverage multi‑cloud platform expertise, cloud migration strategies, and AI-driven automation to enhance capabilities and reduce operational friction.</li></ul></ul><h3>Cross-Functional Influence &amp; Collaboration</h3><ul><ul><li>Operate effectively in a matrixed, global, cross‑cultural environment.</li><li>Partner closely with Go‑to‑Market, Product, Project Management, Engineering, and other key functions to support new business, improve delivery visibility, and ensure seamless client experiences.</li><li>Strengthen Rackspace’s talent brand by engaging proactively in the global talent market and fostering an environment where careers thrive.</li></ul></ul><h3>Leadership &amp; Talent Development</h3><ul><ul><li>Lead a globally distributed, multi‑disciplinary team through clear metrics, transparent communication, and authentic, servant‑leadership principles.</li><li>Cultivate a high‑performance culture driven by accountability, continuous feedback, and shared goals.</li><li>Promote alignment, collaboration, and productivity across teams and regions.</li></ul></ul><h3>Customer &amp; Market Impact</h3><ul><ul><li>Support narrative-building efforts that highlight Rackspace’s capabilities and market differentiation.</li><li>Maintain executive presence with customers, partners, and internal stakeholders—communicating effectively and persuasively to influence decisions and build trust.</li><li>Enable sales by helping identify emerging product and service opportunities.</li></ul></ul><h3>Skills &amp; Experience</h3><ul><ul><li>Proven success leading complex delivery or operations organizations at scale (preferably $1B+ environments).</li><li>Demonstrated P&amp;L accountability in multi-site, globally distributed teams.</li><li>Expertise in Digital Infrastructure, Cloud, Service Delivery, Technical Operations, and—preferably—Datacenter or Supply Chain.</li><li>Strong track record managing cross-functional technical and non-technical resources.</li><li>Ability to attract, retain, and develop world‑class talent in competitive markets.</li><li>Experience driving operational improvements grounded in metrics, performance management, and process excellence.</li><li>Skilled collaborator with experience operating in matrixed organizations.</li><li>Strong executive communication skills with the ability to engage and influence diverse stakeholders.</li><li>Agile mindset with the ability to pivot quickly, remain composed under pressure, and lead through ambiguity.</li><li>High energy, self‑motivation, authenticity, and the ability to build pride and performance within teams.</li><li>Advanced analytical, data-driven decision-making abilities.</li></ul></ul><h3>Education</h3><ul><ul><li>Bachelor’s degree in business or related field required.</li><li>MBA or advanced degree highly preferred.</li></ul></ul>"Remote postings are limited to candidates residing within the country specified in the posting location"<b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

VP, Delivery - Core

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Job Position and Company	Location	Tags	Posted
Senior BI Platform Engineer at Rackspace	Remote Full Time
Senior Licensing Manager at Rackspace	Remote Full Time Audit Manager
Forward Deployed Engineer - Data Migration & Data Consolidation Platforms at Rackspace	Remote Full Time Javascript
Sr. Forward Deployed Engineer - Private Cloud, Data & AI Enterprise Solutions at Rackspace	Remote Full Time Consulting
VP, Delivery - Core at Rackspace	Remote Full Time

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