{"id":1697928,"url":"https://alion.io/job/tangspac-consulting-vp-data-analytics-ml-pythonbig-data","title":"VP - Data Analytics (ML, Python,Big Data)","company":{"id":3802168,"name":"Tangspac Consulting","domain":"tangspac.com","url":"https://alion.io/company/tangspac-consulting","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","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":{"min":11000,"max":13500,"currency":"SGD","period":"month","gross":true,"usd_annual":126564},"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":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"QlikSense","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-02T00:00:00Z","board_verified":false,"closed_at":null,"days_open":22,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":22},"description":"Join a leading bank as a VP - Data Analytics, where you will drive the delivery of enterprise data, analytics, and AI-enabled solutions that support business growth, regulatory compliance, risk management, and customer insights across the organization.\nLead end-to-end delivery of enterprise data, analytics, and AI-enabled solutions across the full SDLC, from requirements gathering through implementation and production support. \nAnalyze business and regulatory requirements and translate them into scalable data architectures, functional designs, and solution roadmaps\nDesign and govern modern data platforms supporting structured, semi-structured, and unstructured data, including advanced analytics, machine learning, NLP, and real-time insights.\nCollaborate with business, technology, data science, and operations teams to ensure solution quality, data integrity, regulatory compliance, and successful delivery. \nDrive innovation, platform modernization, data governance, root cause analysis, and continuous improvement initiatives to enhance business value and operational efficiency.\n\nRequirements \nProven experience delivering large-scale data, analytics, and decision-support solutions within banking or financial services environments. \nStrong expertise in business analysis, requirements management, solution design, data modelling, data governance, and regulatory compliance. \nHands-on experience with modern data platforms such as Databricks, Snowflake, Azure Fabric, BigQuery, Hadoop, Spark, and related technologies. \nProficiency in SQL and data analytics technologies, with working knowledge of Python and BI/visualization tools such as Power BI or QlikSense. 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