{"id":4065862,"url":"https://alion.io/job/davies-group-manager-data-platform-enterprise-it","title":"Manager - Data Platform Enterprise IT","company":{"id":672845,"name":"Davies Group","domain":"davies-group.com","url":"https://alion.io/company/davies-group","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Pinpoint","truth_index":{"grade":"A","score":100,"open_postings":23,"ghost_share":0,"stale_share":0,"repost_share":0.087,"time_to_fill_p50_days":14,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Operations","role_family":"Operations","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FinOps","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"ITSM","optional":true}],"status":"live","first_seen_at":"2026-11-10T11:20:47Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T11:20:47Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Own the Enterprise IT data platform and data layer, including lake and warehouse capabilities, as the trusted source of IT data for reporting and analytics.\nEnsure Enterprise IT data is designed once, governed to Group standards and reusable across Service Operations, Enterprise Technology, Supply Chain and Procurement.\nLead the data platform and reporting team, balancing platform reliability, governance, cost, reporting demand and continuous improvement.\nMaintain alignment with Group Engineering on architecture, tooling, security and data standards.\nKey Responsibilities\nOwn the design, build, operation, security, performance, cost and integrity of the Enterprise IT lake and warehouse layer.\nDesign and manage ingestion pipelines, dimensional data models, curated datasets, data lineage, refresh schedules and pipeline reliability.\nIntegrate data from ServiceNow, regional IT tooling, Microsoft 365, Entra, Intune, endpoint telemetry, cloud cost and consumption sources, procurement, asset, Finance and HR reference data.\nOwn and prioritise the data platform backlog, sequencing delivery against business value, risk and dependencies.\nAdopt Group-standard platforms, tools and engineering patterns, and contribute to relevant data governance and design authorities.\nAlign shared dimensions such as people, organisation, cost centre, location and legal entity with Finance and HR data standards.\nOwn the Enterprise IT data dictionary and common KPI and metric definitions.\nDefine, monitor and report data quality rules; coordinate remediation with source-system and service owners.\nEnsure data protection, retention, security, role-based access and audit requirements are embedded across the platform.\nLead, coach and develop Report Developers and data specialists, setting clear delivery and quality standards.\nProvide certified semantic models and reusable datasets as the approved source for Power BI reporting.\nSet Power BI development, release, workspace and lifecycle standards in alignment with Group requirements.\nPrioritise reporting demand across Service Operations, Enterprise Technology and Supply Chain / Procurement.\nTrack platform and licence cost using FinOps principles and identify opportunities to reduce manual reporting and spreadsheet-based workarounds.\nIdentify and shape automation, predictive analytics and AI use cases supported by governed data.\nSkills, Knowledge and Expertise\nMandatory: Proven experience delivering and operating enterprise data platforms and leading a small technical team.\nTotal experience: 10+ years in data engineering, data platforms, business intelligence or related technology roles.\nRelevant experience: 5+ years in enterprise data platform ownership or leadership, including governance and stakeholder management.\nEducation: Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science or a related discipline. Equivalent relevant professional experience may be considered.\nStrong enterprise data platform knowledge, including Azure / Microsoft Fabric, Databricks, Synapse, Snowflake or comparable technologies.\nAdvanced data modelling capability, including dimensional and star-schema design, SQL, ELT / ETL and semantic models.\nPractical experience in data governance, metadata, lineage, data quality, retention, security and access control.\nAbility to translate reporting and operational needs into scalable data products and prioritised delivery plans.\nStrong leadership, coaching, supplier and stakeholder-management skills across technical and non-technical teams.\nClear written and verbal communication, with the ability to explain data risks, trade-offs and value to senior stakeholders.\nKnowledge of Power BI delivery standards and workspace governance.\nDesirable knowledge of ITSM / ServiceNow data, FinOps, Finance, HR, procurement or asset-management data domains\nDemonstrable ownership of a production enterprise data platform, including reliability, security, performance and cost.\nStrong hands-on understanding of SQL, data modelling and modern ELT / ETL pipelines.\nEvidence of establishing data governance, quality controls, lineage and shared metric definitions.\nExperience leading technical colleagues and managing competing cross-functional demand.\nAbility to work to Group architecture and engineering standards while representing Enterprise IT requirements.\n Certification if any\nMicrosoft Certified: Fabric Analytics Engineer Associate, Azure Data Engineer Associate or equivalent certification is desirable.\nRelevant cloud, Databricks, Snowflake, Power BI, data governance or FinOps certification is 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