{"id":2508695,"url":"https://alion.io/job/flexential-director-enterprise-data","title":"Director, Enterprise Data","company":{"id":179442,"name":"Flexential","domain":"flexential.com","url":"https://alion.io/company/flexential","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Denver, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Incident Management","optional":false},{"name":"Pentaho","optional":false},{"name":"ServiceNow","optional":false},{"name":"SQL","optional":false},{"name":"Active Directory","optional":true},{"name":"Agile","optional":true},{"name":"C#","optional":true},{"name":"CyberArk","optional":true},{"name":"Machine Learning","optional":true},{"name":"MS SQL","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-10-05T17:11:57Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-15T02:26:04Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"The Director, Enterprise Data, is responsible for defining and executing Flexential's enterprise data strategy, governance framework, architecture roadmap, integration services, analytics enablement capabilities, and information management practices. This leader provides strategic direction and operational oversight for the people, platforms, architecture, governance, and operating model needed to make enterprise data trusted, reliable, discoverable, reusable, and fit for purpose. This role leads the Data vertical as a distinct function that works in a dotted-line matrix with the AI vertical. The role owns the data foundation that enables analytics, operational integration, automation, and AI readiness, including governed data products, reusable pipelines, consistent metrics, metadata, lineage, quality, classification, and access controls. The successful candidate is a leader who balances long-term strategy with near-term execution and builds practical governance that enables the business rather than slowing it down. Success in this role will be measured by Flexential's ability to leverage trusted, governed, and reusable data assets through self-service analytics, automation, and emerging AI capabilities that drive measurable business outcomes.\nKey Responsibilities and Essential Job Functions\nDevelop, maintain, and execute the enterprise data strategy and multi-year roadmap aligned to Flexential priorities, measurable business outcomes, and AI readiness requirements.\nLead the evolution of Flexential's data capabilities from report-centric delivery toward governed data products, trusted enterprise metrics, reusable business capabilities, self-service analytics, automation, and emerging AI enablement that improve operational efficiency, accelerate decision-making, and deliver measurable business value.\nEstablish a clear operating model for the Data organization, including decision rights, service ownership, delivery intake, prioritization, capacity planning, and engagement with business and technology teams.\nTranslate enterprise priorities into a sequenced portfolio of data platform, integration, governance, and data product initiatives, with clear outcomes, owners, dependencies, and measures of value.\nGuide investment and rationalization decisions across the data ecosystem, favoring reuse, platform standards, and incremental modernization over unnecessary tool proliferation or wholesale replacement.\nPartner with the AI vertical to identify the minimum viable governed data needed for priority AI use cases and sequence data work according to business value and readiness.\nCollaborate with Enterprise Architects to ensure enterprise data architecture, integrations, models, and governance standards align with Flexential’s broader technology strategy and future-state architecture.\nOwn the future-state enterprise data architecture and the standards that govern how data is sourced, moved, stored, transformed, secured, documented, and consumed.\nProvide architectural leadership across the SQL Server-based Enterprise Data Warehouse (EDW) and Operational Data Store (ODS), including landing, staging, dimensional, fact, reporting, and operational schemas.\nEstablish and enforce data modeling, schema design, master and reference data, data lifecycle, interoperability, performance, reliability, and scalability standards.\nDefine authoritative systems of record and approved patterns for analytical, operational, and third-party data exchange.\nEnsure architecture decisions support governed data products, reusable semantic layers, historical analysis, operational reporting, automation, and AI consumption.\nLead the design, delivery, operation, and continuous improvement of enterprise data pipelines, APIs, integrations, transformations, and orchestration workflows.\nMaintain clear separation of tool responsibilities: Boomi as the preferred platform for application-to-application, API, event-driven, and near-real-time operational integrations; Pentaho Data Integration as the primary platform for batch analytics ingestion and data warehouse population; and custom code only for justified exceptions.\nEstablish reusable integration patterns, data contracts, error handling, retry, logging, monitoring, testing, deployment, and support standards.\nOversee SQL Server stored procedures and other in-database transformations used for complex or performance-sensitive processing, ensuring they remain maintainable, documented, and appropriately scoped.\nPartner with application owners for Salesforce, NetSuite, ServiceNow, Workday, Anaplan, and other source or target systems to improve data reliability and reduce brittle point-to-point dependencies.\nEstablish and mature a business-owned, enablement-first enterprise data governance program with clear Data Owner, Data Steward, Domain Lead, and technical custodian responsibilities.\nCreate lightweight policies, standards, and decision forums for data ownership, access, quality, definitions, classification, lifecycle management, issue resolution, and change control.\nDevelop an enterprise business glossary and consistent definitions for critical data elements, metrics, dimensions, and KPIs.\nAdvance metadata management, data cataloging, end-to-end lineage, data quality measurement, certification, and discoverability of governed data assets.\nPartner with Security, Privacy, Risk, Compliance, Legal, and business leaders to align data access, classification, retention, protection, and auditability with enterprise requirements.\nCreate transparent escalation and remediation processes for data quality issues and conflicting metric definitions, with accountability assigned to the appropriate business owner.\nDrive the transition from ad hoc, report-centric delivery toward governed, reusable data products and semantic layers that support consistent reporting and analysis.\nPartner with FP&A and business teams using Qlik, Anaplan, application-native reporting, and other analytical tools to ensure enterprise metrics are governed consistently across consumption platforms.\nEnable self-service analytics through certified datasets, documented definitions, reusable data assets, clear guardrails, fit-for-purpose tooling, data literacy initiatives, and AI-assisted analytics capabilities that reduce dependency on centralized report development.\nEnsure executive and cross-functional reporting is supported by trusted source data, documented transformations, defined refresh expectations, and named business owners.\nImprove data literacy and fluency by helping leaders and teams understand data definitions, quality, appropriate use, and accountability.\nLead, coach, and develop the Enterprise Data team, setting clear priorities, role expectations, delivery standards, and individual accountability.\nEstablish disciplined delivery and operational practices across Boomi, Pentaho, SQL Server, APIs, integrations, and data products, including solution design, development, testing, release, observability, documentation, incident response, and root cause analysis.\nCreate measurable service health, platform reliability, delivery throughput, data quality, reuse, customer experience, and business value metrics.\nManage vendors, contracts, licensing, platform roadmaps, and external partners within the approved budget.\nCommunicate architecture decisions, delivery risks, tradeoffs, progress, and outcomes clearly to technical teams, business leaders, and executives.\nPerform other duties as required and assigned.\nWhat Success Looks Like\n12-Month Expectations\nDevelop and execute a prioritized enterprise data roadmap that clearly connects platform, architecture, integration, governance, reporting, and AI-readiness work to business outcomes.\nEstablish the initial enterprise data governance operating model, with named business Data Owners and Data Stewards for priority domains, clear decision rights, an active governance cadence, and a documented issue-escalation process.\nDocument the current-state and target-state enterprise data architecture, authoritative systems of record, critical data flows, approved integration patterns, and the modernization sequence for the EDW, ODS, and integration ecosystem.\nImplement measurable data quality, pipeline reliability, platform health, and delivery performance reporting for critical data products and integrations.\nReduce reconciliation and rework for priority metrics by establishing governed definitions, traceable transformations, and reusable certified datasets or semantic layers.\nFormalize data-team operating practices for intake, prioritization, design review, testing, deployment, documentation, production support, incident management, and root cause analysis.\nEstablish a repeatable data-readiness partnership with the AI vertical so priority AI use cases have documented source data, ownership, classification, quality, access, metadata, lineage, and ongoing monitoring requirements.\n24-Month Trajectory\nOperate a durable federated data governance model in which business domains own meaning and quality while the Enterprise Data team provides standards, platforms, architecture, and enablement.\nIncrease reuse of governed data products, pipelines, integration components, and enterprise metrics while reducing redundant transformations, brittle point-to-point integrations, and direct-to-source reporting.\nDemonstrate sustained improvement in data reliability, timeliness, discoverability, trust, delivery speed, and measurable value delivered to business and AI initiatives.\nAdvance the enterprise data platform through deliberate modernization that improves scalability, observability, security, and supportability without disrupting critical operations.\nBuild a capable, accountable Enterprise Data team with clear roles, strong technical and business partnerships, documented institutional knowledge, and visible succession depth.\nRequired Qualifications\n8+ years of progressive experience across enterprise data architecture, data engineering, integration, data governance, analytics, or related disciplines, including 3+ years leading teams or significant cross-functional data programs.\nDemonstrated experience defining and executing enterprise data strategies, roadmaps, operating models, architecture standards, and governance programs in a complex environment.\nStrong knowledge of data warehousing, operational data stores, dimensional modeling, ETL/ELT, APIs, data integration, metadata, lineage, data quality, semantic models, and governed data products.\nExperience leading enterprise integration and data engineering capabilities using platforms such as Boomi, Pentaho Data Integration, SQL Server, or comparable technologies.\nAbility to distinguish and govern operational integration, analytical ingestion, in-database transformation, and custom-code patterns based on business and technical requirements.\nExperience establishing business data ownership, stewardship, metric governance, issue resolution, and cross-functional decision forums.\nProven ability to lead managers, engineers, architects, analysts, or governance professionals and to improve delivery discipline and operational maturity.\nAbility to translate complex data architecture, quality, and governance issues into concise business risks, tradeoffs, decisions, and implementation plans.\nStrong written and verbal communication skills and the ability to influence senior business and technology stakeholders without relying solely on formal authority.\nDemonstrated ability to manage competing priorities, operate within budget constraints, and maintain effectiveness in a fast-moving operational environment.\nPreferred Qualifications\nExperience technologies such as Boomi, Pentaho Data Integration, Microsoft SQL Server, EDW/ODS architectures, stored procedures, Qlik, C#, and Python.\nExperience integrating enterprise platforms such as Salesforce, NetSuite, ServiceNow, Workday, Anaplan, and other SaaS or operational systems.\nExperience with data catalog, m...","description_format":"text","description_chars":16825,"description_truncated":true,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","Cloud Platforms (IaaS & PaaS)","Managed IT Services (MSP)"],"lifecycle":[{"event":"open","at":"2026-10-14T08:31:47Z"}],"visa":[],"liveness":{"score":78,"band":"hot","label":"Hiring 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