{"id":3296824,"url":"https://alion.io/job/hsbc-sr-associate-director-data-and-analytics-ai-data-engineer","title":"Sr. Associate Director, Data and Analytics (AI Data Engineer)","company":{"id":19779,"name":"HSBC","domain":"hsbc.com","url":"https://alion.io/company/hsbc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":100,"open_postings":75,"ghost_share":0.013,"stale_share":0.04,"repost_share":0.2,"time_to_fill_p50_days":12,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shenzhen, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":121000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":110},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Feature Store","optional":true},{"name":"Reranking","optional":true}],"status":"live","first_seen_at":"2026-10-26T06:21:52Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-28T15:25:38Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Some careers have more impact than others.\nIf you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.\nWe are currently seeking an experienced professional to join our team in the role of Sr. Associate Director, Data and Analytics (AI Data Engineer).\nBusiness: CTO Data Technology\nJob ID: 64596\nPrincipal responsibilities\nBuild and operate pipelines for structured domain data (onboarding events, customer/entity data, credit facilities/exposures, limits, risk grades, portfolio hierarchies, performance and arrears).\nBuild unstructured data pipelines for domain documents (KYC documents, corporate registries extracts, credit memos, financial statements, portfolio review materials): parsing, metadata enrichment, deduplication and retention handling.\nDevelop embedding/vectorisation pipelines and manage vector indices with refresh and deletion strategies aligned to data governance.\nImplement data quality, observability and lineage: automated testing, SLAs, anomaly detection, monitoring and runbooks.\nApply privacy-by-design: PII handling, masking/tokenisation where required, access controls and audit trails.\nImplement dataset versioning and reproducibility (snapshots, schema evolution, data contracts) to support repeatable evaluations.\nPartner with Agent Engineers and stakeholders to define data requirements and evaluation datasets; close feedback loops from production retrieval/agent performance.\nSupport production operations and continuous improvement of data services powering AI.\nRequirements\nDelivering reliable, fresh, well-governed datasets and indices used by KYC, credit and portfolio AI solutions.\nImproving retrieval relevance and answer grounding by strengthening metadata, chunking inputs, and data quality.\nReducing operational incidents through strong testing, monitoring, and disciplined change management.\nMaking AI datasets reproducible and auditable to support reviews and control expectations.\nWhat additional skills will be good to have?\nExperience working with sensitive data domains (KYC/AML, credit risk) and implementing controlled access patterns.\nFamiliarity with vector search concepts, document ranking/reranking and retrieval metrics.\nExperience with feature stores or MLOps-style dataset management.\nYou’ll achieve more when you join HSBC.\nHSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. 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