{"id":3758549,"url":"https://alion.io/job/theiia-senior-manager-data-ai-delivery","title":"Senior Manager, Data & AI Delivery","company":{"id":451338,"name":"Theiia","domain":"theiia.org","url":"https://alion.io/company/theiia","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":null},"role":"Management","role_family":"Management","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lake Mary, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Jira","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"NIST AI RMF","optional":true},{"name":"OpenAI","optional":true},{"name":"RAG","optional":true}],"status":"closed","first_seen_at":"2026-11-04T17:46:07Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-05T05:07:13Z","board_verified":false,"closed_at":"2026-11-05T05:07:13Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Senior Manager, Data & AI Delivery\nLocation: Lake Mary, FL (Hybrid)\nDepartment: Technology, AI & Product Experience (TPX) - Data & AI\nPosition Type: Full-Time, Exempt\nAbout The IIA\nThe Institute of Internal Auditors (IIA) is the global leader and recognized authority for the internal audit profession. We advance the profession worldwide through education, advocacy, certifications, standards, and professional resources.\nGuided by our values of People First, Integrity, Collaboration, Accountability, and Innovation, we offer a collaborative, purpose-driven workplace where employees can grow professionally while making a global impact.\nWhy Join The IIA?\nJoin a global, mission-driven organization where you can help build and scale modern data platforms and artificial intelligence solutions. You'll have the opportunity to lead a growing engineering team, shape reliable data and AI delivery practices, and develop innovative technology capabilities that support The IIA's global operations.\nPosition Summary\nThe IIA is seeking a hands-on, results-driven Senior Manager, Data & AI Delivery to lead the execution and operational governance of our enterprise data platform and AI solutions.\nThis role combines technical leadership, data engineering, AI implementation, and agile delivery management. You'll lead a small team of onshore and offshore engineers, oversee production data pipelines and lakehouse architecture, and ensure data and AI solutions meet established standards for quality, security, reliability, and governance.\nThe ideal candidate brings strong expertise in SQL, Python, cloud data platforms, data engineering, machine learning (ML), and large language model (LLM) applications, along with experience leading distributed engineering teams and delivering production-ready solutions.\nWhat You'll Do\nData Engineering & Cloud Platform Delivery\nLead the development, deployment, and ongoing support of enterprise data pipelines, lakehouse architectures, and analytics data models.\n\nRemain hands-on with SQL, Python, code reviews, troubleshooting, and technical problem-solving.\n\nMaintain platform reliability through monitoring, incident response, data quality checks, and operational support.\n\nPartner with analytics and business intelligence teams to deliver trusted, well-structured data for reporting and decision-making.\n\nAI & Machine Learning Delivery\nLead the implementation and production deployment of approved AI, machine learning, and LLM-based solutions.\n\nApply established standards for model evaluation, performance monitoring, reliability, and cost tracking.\n\nSupport the integration of AI capabilities into enterprise platforms and business processes.\n\nIdentify and resolve technical issues affecting production AI solutions.\n\nData Governance, Quality & Risk Controls\nImplement operational governance standards across data engineering and AI delivery.\n\nEstablish and enforce release gates, automated testing, data quality controls, access management, and approval workflows.\n\nSupport data lineage, model inventories, evaluation processes, and human review requirements.\n\nTrack governance exceptions, technical risks, and control gaps, coordinating remediation with appropriate teams.\n\nEngineering Leadership & Agile Delivery\nLead, mentor, and develop a small team of onshore and offshore data, analytics, and AI engineers.\n\nManage work intake, sprint planning, backlog priorities, project estimates, and delivery timelines.\n\nCoordinate with Engineering, Technical Product Management, and cross-functional stakeholders on requirements, integrations, and releases.\n\nOversee implementation vendors and offshore partners, ensuring engineering quality, accountability, and knowledge transfer.\n\nCommunicate project progress, technical risks, and delivery priorities to leadership.\n\nQualifications\nRequired Qualifications\n5+ years of experience in data engineering, analytics engineering, or machine learning engineering, including at least 1 year leading or mentoring engineers as a manager, team lead, or formal technical lead.\n\nHands-on production experience with modern cloud data platforms and lakehouse architectures, such as Databricks, Apache Spark, Delta Lake, or equivalent technologies.\n\nStrong proficiency in SQL and Python, including active coding, code reviews, and technical troubleshooting.\n\nExperience deploying or supporting production ML or LLM-based solutions, including evaluation, monitoring, and issue resolution.\n\nExperience working with distributed engineering teams, offshore resources, or technology vendors.\n\nKnowledge of agile software delivery, sprint planning, backlog management, and tools such as Azure DevOps or Jira.\n\nExperience with data modeling, data quality, access controls, data catalogs, and lineage.\n\nDemonstrated ability to implement automated testing, release controls, approval workflows, and governance standards.\n\nStrong communication, collaboration, and problem-solving skills, with the ability to explain technical risks and priorities to business stakeholders.\n\nPreferred Qualifications\nExperience with Microsoft Azure cloud data and AI services.\n\nKnowledge of MLOps, model registries, CI/CD pipelines, and automated model evaluation.\n\nExperience developing retrieval-augmented generation (RAG) or LLM applications using Azure OpenAI or comparable platforms.\n\nFamiliarity with AI governance frameworks, including the NIST AI Risk Management Framework or ISO/IEC 42001.\n\nDatabricks, Microsoft Azure, or related data and AI engineering certifications.\n\nExperience in regulated, standards-driven, professional association, audit, risk, or compliance environments.\n\nEqual Opportunity Employer\nThe Institute of Internal Auditors (IIA) is an Equal Opportunity Employer. We are committed to creating an inclusive workplace where all employees are treated with dignity and respect. 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