{"id":1455936,"url":"https://alion.io/job/gm-financial-avp-cloud-data-analytics-architecture","title":"AVP Cloud Data Analytics Architecture","company":{"id":1900050,"name":"GM Financial","domain":"gmfinancial.com","url":"https://alion.io/company/gmfinancial-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":82,"open_postings":14,"ghost_share":0,"stale_share":0.714,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Analytics","role_family":"Analytics","seniority":"head","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irving, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":121000,"max_usd":231000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":267},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Feature Store","optional":false},{"name":"FinOps","optional":false},{"name":"GitHub","optional":false},{"name":"Informatica","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"Copilot","optional":true}],"status":"live","first_seen_at":"2026-07-21T21:32:31Z","employer_posted_date":"2026-07-21","last_verified_at":"2026-10-25T11:20:51Z","board_verified":true,"closed_at":null,"days_open":95,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":95},"description":"Why GM Financial Technology?\nInnovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.\nJoin us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.\nThis position will be posted until filled.\nAbout the role:\nThe AVP Cloud Data Analytics Architecture will lead the cloud data architecture team and scale the Data & Analytics organization globally. As an experienced cloud data architect, this role will partner with business stakeholders to capture data, analytics, AI/ML, and GenAI requirements; design, develop, and deploy Enterprise Cloud Data and AI solutions; and integrate data from disparate sources across cloud, hybrid, and multi-cloud environments, deploy compliant infrastructure and support cloud resources (SRE).\nThey will bring hands-on expertise in Azure (Data & AI), Databricks (Delta Lake, MLflow, Model Registry, Feature Store), APIs, microservices, and event-driven architectures. The AVP will ensure the cloud, data, machine learning, and AI platforms are scalable, secure, cost-optimized (FinOps), and compliant to meet future growth and business domain requirements. With a passion for building agile teams, this leader will drive planning and execution while collaborating across cross-functional teams to deliver mission-critical outcomes. The AVP will build strong partnerships with cloud data architects, cloud platform teams, engineering teams, and vendors to scale global data and AI architecture and capabilities across the enterprise.\nThis position reports to the VP, IT Delivery and Deployment\n What makes you an ideal candidate:\nStrategy & Leadership\nArchitect the data and analytics platform including AI/ML and GenAI capabilities to support the Company’s vision, goals, and strategies.\nDevelop cloud architecture solutions for data, machine learning, artificial intelligence (including LLMs), and analytics leveraging Azure, Informatica, and Databricks including cloud infrastructure.\nTranslate broad strategies into AI-enabled data architecture blueprints and roadmaps, aligning to strategic objectives and measurable business outcomes.\nCollaborate with Data Leadership to define cloud data & AI architecture, Digital Transformation, and Data & Analytics priorities and goals.\nPartner with the VP Cloud Data Analytics Architecture on department performance and accountability for business results.\nArchitecture & Delivery\nArchitect the end-to-end flow of data and AI features from transactional systems and master data through curation layers (bronze/silver/gold) into cloud data platforms (ADLS, Delta Lake) and consuming applications/services.\nDesign RAG (Retrieval-Augmented Generation) and LLM reference architectures on Azure using Databricks, Azure Machine Learning, Azure Cognitive Search (vector), and Azure OpenAI Service where appropriate.\nArchitect and monitor data and model pipelines across Event Hubs/Service Bus, APIs/microservices, and streaming frameworks to support real-time analytics and AI inference.\nEstablish AI-ready data models, semantic layers, and feature engineering standards to fuel ML and GenAI workloads.\nInteract with software vendors, data and service providers supporting AI/data architecture and integration initiatives in the cloud.\nDefine and report release needs for product/architecture with respect to business objectives, security, data dependency, compliance, and timeliness.\nCollaboration & Enablement\nCollaborate with business and technical teams to develop end-to-end enterprise solutions for data, analytics, machine learning, and artificial intelligence in the cloud.\nCoach, mentor, and train cloud data architecture team members on AI platform patterns, MLOps/LLMOps, Databricks ML, Azure ML, and secure development practices.\nAssist leadership in annual planning, budgeting, and capacity planning for AI & data platform investments and managed services.\nChampion an environment of trust, continuous improvement, innovation, quality outcomes, and self-development.\nDevelop relationships with key business and technical decision makers; drive long-term cloud data & AI adoption; enable internal advocacy and best-practices sharing.\nShare insights and best practices; proactively remove architectural blockers to accelerate AI and data initiatives.\n\n Experience:\n7-10 years building enterprise-scale cloud data architecture and applications to support ML/AI and analytics (required).\n7-10 years in cloud application development solutions (PaaS, SaaS, IaaS, Serverless, Data Orchestration, API Management) (required).\n7-10 years with scalable architectures using Azure App Service, API Management, serverless, container orchestration, microservice frameworks (required).\n7-10 years with DevOps and CI/CD toolchains (Azure DevOps, GitHub) (required).\n3+ years delivering production ML/AI solutions (preferred), including Databricks ML and Azure Machine Learning.\nLeadership: 7-10 years management or leadership experience (required).\nHigh School Diploma or equivalent (required).\nBachelor’s Degree in a related field or equivalent work experience (required). Master’s Degree in a related field (preferred).\n Preferred Certifications (nice-to-have): Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Azure AI Engineer Associate Databricks: Certified Data Engineer Professional / Machine Learning Professional\nWorking effectively within an AI enabled environment:\nAbility to use AI tools (e.g., Microsoft Copilot) to support daily work\nSkills in evaluating AI outputs for accuracy, compliance, and bias\nExperience integrating AI into workflows to improve efficiency or insights\nFamiliarity with AI assisted research, summarization, and content generation\nUnderstanding of responsible AI use, including ethics and data protection \nWhat We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.\nOur Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.\nCompensation: Competitive pay and bonus eligibility.\nWork Life Balance: Flexible hybrid work environment, 3-days a week in Las Colinas, TX office.\nThis position is not open to agency submissions","description_format":"text","description_chars":6887,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":7,"team_size_min":null,"manages_managers":false,"education":{"level":"high_school","optional":true},"security_clearance":false,"languages":[]},"benefits":["401k plan","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Leasing, Auto & Equipment Finance"],"lifecycle":[{"event":"open","at":"2026-09-29T09:52:53Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.541,"p_room":0.28,"age_days":95,"expected_fill_days":42,"reasons":["conf:8","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/gm-financial-avp-cloud-data-analytics-architecture","json_url":"https://alion.io/job/gm-financial-avp-cloud-data-analytics-architecture.json","meta":{"generated_at":"2026-10-25T17:08:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24543,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1900050},"rest":"https://alion.io/mcp/rest/get_company?id=1900050"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgm-financial-avp-cloud-data-analytics-architecture"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgm-financial-avp-cloud-data-analytics-architecture"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgm-financial-avp-cloud-data-analytics-architecture"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gm-financial-avp-cloud-data-analytics-architecture\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgm-financial-avp-cloud-data-analytics-architecture"}]}