{"id":3524501,"url":"https://alion.io/job/the-coca-cola-company-director-architect-data-analytics","title":"Director, Architect, Data & Analytics","company":{"id":1889,"name":"The Coca-Cola Company","domain":"coca-colacompany.com","url":"https://alion.io/company/the-coca-cola-company","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":47,"ghost_share":0.021,"stale_share":0.043,"repost_share":0.34,"time_to_fill_p50_days":14,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":171000,"max":198000,"currency":"USD","period":"year","gross":null,"usd_annual":198000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"RAG","optional":false},{"name":"Agile","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Kotlin","optional":true},{"name":"LangChain","optional":true},{"name":"Machine Learning","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Microsoft Office","optional":true},{"name":"MLFlow","optional":true},{"name":"Power BI","optional":true},{"name":"PyTorch","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"SharePoint","optional":true}],"status":"live","first_seen_at":"2026-10-30T13:34:43Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-02T15:03:35Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Description Summary:\nAt The Coca-Cola Company, data and artificial intelligence are essential to creating connected experiences, enabling faster decisions and supporting sustainable growth. The Director, NAOU Data Architecture & Engineering will be thought leader in architecture and engineering strategy for data, analytics, data science and AI capabilities supporting the North America Operating Unit.\nLeads multiple highly complex projects and ensures the success of enterprise-level application rollouts; determines and develops architectural approaches and solutions; conducts business reviews; documents current systems and develops recommendations; may contribute in the planning of the overall organizational IT strategy. Individual contributor who guides others in resolving complex issues in specialized area based on existing solutions and procedures; works independently with guidance only in the most complex situations.\nWhat You'll Do for Us\nLead architects, data engineers, platform engineers, ML/AI engineers and technical leaders responsible for building and operating enterprise data and AI capabilities.\nEstablish engineering standards for CI/CD, Infrastructure-as-Code, automated testing, orchestration, observability, metadata, lineage, data quality, reliability and operational support.\nDrive reusable frameworks, golden paths and platform capabilities that accelerate delivery across commercial, customer, consumer, finance, supply chain, operations and digital initiatives.\nImprove workload performance, resilience and cost efficiency across cloud data, analytics and AI platforms.\nDefine architecture and engineering patterns for the end-to-end ML and AI lifecycle, including experimentation, feature engineering, training, evaluation, deployment, inference, monitoring and lifecycle management.\nEstablish MLOps practices for model and experiment versioning, reproducibility, CI/CD, automated deployment, model registries, monitoring, drift detection, retraining and production support.\nDefine secure patterns for Generative AI and agentic solutions, including Retrieval-Augmented Generation (RAG), embeddings, vector search, enterprise grounding, evaluation, model orchestration, AI agents, APIs and Model Context Protocol integration where appropriate.\nPartner with data scientists and AI engineers to transition prototypes into secure, observable, reliable and production-grade solutions.\nEstablish architecture guardrails for Responsible AI, privacy, security, model governance, explainability, evaluation and appropriate human oversight.\nImprove the discoverability, accessibility, quality and usability of trusted data and AI capabilities so teams can move from questions to decisions more efficiently.\nCommunicate architecture choices, dependencies, value, cost and risk in clear business terms to senior leaders and cross-functional stakeholders.\nPartner with Global Data & AI, Enterprise Architecture, Cybersecurity, Privacy, Governance and platform organizations to align NAOU solutions with enterprise direction.\nMentor and develop technical talent, strengthen succession pipelines and enable teams to make decisions within clear architectural guardrails.\nMeasure success through adoption, delivery speed, reliability, quality, reuse, cost efficiency, risk reduction and realized business value.\nRequirements and Qualifications\nBachelor's degree in computer science, Engineering, Information Systems, Data Science or a related field, or equivalent professional experience; advanced degree is a plus.\n12+ years of progressive experience in data architecture, data engineering, analytics platforms, data science platforms, AI architecture or enterprise technology, including leadership of complex enterprise-scale transformations.\n5+ years of experience leading architects, engineers, technical leaders or multidisciplinary platform teams, including responsibility for talent development and delivery outcomes.\nDemonstrated experience designing cloud-native architectures spanning lakehouse and warehouse platforms, data products, streaming, APIs, semantic models and analytical consumption.\nExperience with enterprise cloud data platforms such as Microsoft Azure, Microsoft Fabric, OneLake, Power BI and Azure Databricks, or comparable technologies.\nWorking knowledge of machine learning and AI solution lifecycles and MLOps practices, including experimentation, deployment, model registries, monitoring, drift detection, reproducibility and governance.\nKnowledge of AI/ML technologies and frameworks such as Azure Machine Learning, Azure AI Foundry, MLflow, PyTorch, Spark ML, Microsoft Semantic Kernel, LangChain or comparable platforms and frameworks.\nKnowledge of Generative AI architectures, including LLMs, RAG, embeddings, vector search, enterprise grounding, AI agents, evaluation and API/MCP-based integration.\nStrong understanding of CI/CD, DevOps, DataOps, Infrastructure-as-Code, automated testing, orchestration, observability and cloud cost-management practices.\nDeep understanding of data governance, security, privacy, metadata, lineage, quality, access control, model governance and Responsible AI principles.\nDemonstrated ability to influence senior business and technology leaders, lead decisions across organizational boundaries and communicate complex topics in clear business language.\nExperience translating technology investments into measurable outcomes across reliability, adoption, speed, cost, risk and business value.\nThe Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.Skills:\nAgile Methodology, Analytics, Artificial Intelligence (AI), Business Processes, Cloud Platform, Communication, Data Analytics, Data Flow Diagram, Data Science, Data Strategies, DevOps, Digital Technology, Digital Transformation, Emerging Technologies, Enterprise Architecture Framework, Enterprise Content Management (ECM), Generative AI, Kotlin Programming Language, Microsoft Office, Microsoft SharePoint, Object-Oriented Programming (OOP), Technical Solutions, Technology Strategies, User Experience (UX)Pay Range:\nUnited States: 171,000 - 198,000 USD\nBase pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.\nAnnual Incentive Reference Value Percentage:\n30Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.\nLocation(s):\nUnited States of AmericaCity/Cities:\nAtlantaTravel Required:\n00% - 25%Relocation Provided:\nNoJob Posting End Date:\nNovember 6, 2026Our Purpose and Growth Culture:\nWe are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.\nWe are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.","description_format":"text","description_chars":8224,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Soft Drinks","FMCG & Consumer Brand Groups"],"lifecycle":[{"event":"open","at":"2026-10-30T13:34:43Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 4 · green card filings: 2","filings_12m":4,"filings_prev_12m":17,"green_card_filings_12m":2,"median_offered_wage_usd":122500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":14,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":198000,"is_top_pay":false},"html_url":"https://alion.io/job/the-coca-cola-company-director-architect-data-analytics","json_url":"https://alion.io/job/the-coca-cola-company-director-architect-data-analytics.json","meta":{"generated_at":"2026-11-02T18:42:13Z","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":26227,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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":1889},"rest":"https://alion.io/mcp/rest/get_company?id=1889"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthe-coca-cola-company-director-architect-data-analytics"},{"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%2Fthe-coca-cola-company-director-architect-data-analytics"},{"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%2Fthe-coca-cola-company-director-architect-data-analytics"},{"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/the-coca-cola-company-director-architect-data-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthe-coca-cola-company-director-architect-data-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3524501}},{"tool":"search_jobs","arguments":{"company":"coca-colacompany.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3524501},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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