{"id":3186981,"url":"https://alion.io/job/campbell-global-associate-capital-data-product-owner","title":"Associate Capital Data Product Owner","company":{"id":2649833,"name":"Campbell Global","domain":"campbellglobal.com","url":"https://alion.io/company/campbellglobal","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":95,"open_postings":157,"ghost_share":0.064,"stale_share":0.178,"repost_share":0.121,"time_to_fill_p50_days":13,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Product","role_family":"Product","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":169000,"period":"year","method":"role_country_seniority_unknown","sample_n":270},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-16T09:26:36Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-11-02T07:55:01Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Build data products that directly shape how the firm measures and manages capital. You’ll turn complex business needs into trusted, well-governed datasets and data services that power critical reporting, analytics, and decision-making.\nAs an Associate Capital Data Product Owner within Capital Data Strategy team, you will help shape and execute the Capital Data Strategy by owning delivery for priority Capital data products and enabling capabilities under the Data Product 2.0 program. You will translate capital measurement and reporting outcomes (e.g. RWA, capital ratios, stress testing inputs, capital attribution/drivers) into well-defined product increments - covering ingestion, persistence, transformations, controls, and distribution - while raising the bar on data quality, lineage, and operational reliability.\nYou will work in an agile model, partner closely with engineering and Capital stakeholders, and develop the product management muscle to potentially step into a Data Product Manager role for a defined subset of Capital Data Products.\nJob Responsibilities\nOwn end-to-end delivery for assigned Capital Data Products end-to-end (or key slices), managing backlog across sourcing, ingestion, validation, persistence, transformation, and distribution.\nTranslate Capital business outcomes into epics/user stories with clear acceptance criteria tied to consumer usability, controls, and data quality.\nDrive Data Product 2.0 adoption for your scope: standard schemas, metadata completeness, lineage, certification, and documented SLAs/SLOs.\nTrack to OKRs/KPIs for data products to evolve/mature overall usage, reusage, quality and AI readiness. \nImplement consistent product constructs: product definitions, domain glossary alignment, ownership/RACI, quality rules, and operational readiness.\nPartner with platform teams to onboard products onto shared capabilities (e.g., catalog/metadata, DQ tooling, observability, entitlement patterns).\nReview and contribute to conceptual/logical data models (entities, attributes, relationships, hierarchies) ensuring they support capital calculations and downstream reuse.\nDefine and track data quality rules and thresholds (completeness, validity, timeliness, reconciliation, duplicates), including monitoring and alerting requirements.\nEnsure requirements address PII handling where applicable, entitlements/access controls, retention, auditability, and traceability expected for capital-related data.\nLead consumer enablement and delivery execution: support new feature discovery by gathering and prioritising requirements, support end-to-end use AI-assisted SDLC practices with strong human validation and a controls mindset.\nDefine distribution patterns and contracts (e.g., curated datasets, APIs, batch extracts): selection logic, formats, schedules, reconciliation, reruns/backfills, and SLAs.\nRequired qualifications, capabilities, and skills\nExperience in Product Owner, Business Analyst, Data Analyst, or Technology Delivery roles.\nStrong requirements writing and backlog management skills; comfortable in agile delivery.\nSolid understanding of data product concepts (data contracts, consumers, ownership, quality, observability, lifecycle).\nAbility to read and contribute to logical/conceptual data models and shared domain definitions.\nStrong SQL/data reasoning skills to validate issues, investigate anomalies, and confirm fixes.\nClear communication and stakeholder management across engineering + business + data governance partners.\nHigh ownership mindset: proactive, organized, and able to drive work through ambiguity.\nPreferred qualifications, capabilities, and skills\nAny exposure to bank capital concepts (e.g., RWA, capital ratios, stress testing inputs, capital reporting/attribution, regulatory reporting).\nExperience with Data Product -style enablement: metadata, lineage, DQ rules, certification, and operating model.\nFamiliarity with data engineering patterns (batch + near-real-time), data lake/warehouse concepts, and distributed systems fundamentals.\nExperience defining operational SLAs/SLOs, reconciliation controls, and runbook-style production readiness.\nComfort presenting updates to senior stakeholders; 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