{"id":4004325,"url":"https://alion.io/job/unison-group-technical-delivery-manager-data-lake","title":"Technical Delivery Manager - Data Lake","company":{"id":448684,"name":"Unison Group","domain":"unisongroup.com","url":"https://alion.io/company/unisongroup","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":76,"open_postings":72,"ghost_share":0,"stale_share":0.972,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Product","role_family":"Product","seniority":"lead","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false}],"status":"live","first_seen_at":"2026-11-10T06:13:10Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T06:13:10Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"This role requires strong technical knowledge of enterprise data platforms, excellent stakeholder management skills, and proven experience delivering complex projects within the banking and financial services industry.\n10+ years of Technology Delivery experience. \n5+ years managing Enterprise Data Lake, Data Warehouse or Big Data delivery initiatives. \nProven experience in Hadoop/Cloudera environments. \nExperience managing multiple concurrent project deliveries and BAU portfolios. \nBanking and Financial Services experience preferred.\nRequirements\nDemand & Delivery\n· Manage end-to-end delivery for Data Lake / EDA initiatives.\n· Drive project intake, demand assessment, and prioritization.\n· Track scope, schedule, budget, risks, and dependencies.\n· Ensure delivery commitments are met across projects and BAU enhancements.\nTechnical Solution Delivery:\n· Ensure compliance with EDA onboarding principles.\n· Drive data discovery activities with source application owners.\n· Validate completeness of source scope (tables, files, attributes, interfaces).\n· Challenge assumptions and ensure onboarding is not limited by downstream use cases.\nStakeholder Engagement:\n· Act as the primary interface between - Business teams, Project Managers, Source Application Teams, Data Engineers, Solution Architects, Infrastructure / Platform Teams, Operations and Support Teams, facilitate discussions, drive decisions, and resolve delivery bottlenecks. Manage escalations proactively.\nRisk Management:\n· Drive closure of audit, risk, and compliance findings, ensure onboarding complies with data governance standards. Monitor platform obsolescence, remediation activities, and operational risks. Coordinate ITC, architecture, security, and governance approvals.\nResource Allocation:\n· Plan resource allocation across multiple projects to allocate resources effectively to support project activities, including assigning tasks, managing workloads, and optimizing team productivity.\nDelivery & Project Management: End-to-end project delivery management, Managing multiple concurrent projects and BAU initiatives, Scope, schedule, budget, and dependency management, governance milestone management\nStakeholder Management: Ability to engage business, project teams, architects, and source application owners, Strong negotiation and influencing skills, Escalation management, managing senior stakeholders and steering committees, Driving accountability across teams without direct authority\nData & Integration Knowledge: Data Lake / Data Warehouse concepts, Data onboarding and discovery, Processes, ETL / ELT fundamentals, Batch and real-time integration patterns, Data lineage, metadata, and data quality concepts, Understanding of source-to-target data flows\nGovernance & Compliance: Data governance principles, Change and release governance, Regulatory and audit awareness\nTechnical Understanding: Possess sufficient technical depth to assess and challenge source system architecture, data models and source-to-target mappings, Batch and real-time ingestion design, Hadoop / Spark / Kafka ecosystems, Cloud data platforms, Production support and operational requirements -Not necessarily hands-on, but sufficiently technical to challenge assumptions and assess impact.","description_format":"text","description_chars":3258,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital 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