Vice President, Data Office (Data Application)

Responsibilities:

• Lead the conceptualization, requirement analysis, and business logical design of the Big Data Tag/Label Factory.
• Partner with data engineers to translate complex, massive datasets into high-value business tags, user personas, and behavioral profiles that empower downstream teams.
• Translate marketing strategies into functional specifications for marketing automation platforms.
• Define target audience segmentation mechanics and event-driven triggers to accelerate automated campaign deployment and precise customer reach.
• Analyze customer data life-cycles to uncover deep insights regarding retention, churn, and engagement.
• Partner with CRM business owners to maximize Customer Lifecycle Value (CLV) through data-driven triggers and personalized customer journeys.
• Liaise with legal, compliance, and audit teams to compile and document data definitions and key performance metrics.
• Ensure all data pipelines, lineage, and reporting dashboards comply with internal audit policies and external regulatory standards to minimize compliance risk.
• Act as the primary "Data Translator" across Business Units, MarTech teams, Data Engineering, and external vendors.
• Own the creation of high-quality Business Requirement Documents (BRD), User Stories, and Functional Specifications, ensuring smooth UAT (User Acceptance Testing) and high-quality end-to-end delivery.

Requirements:

• Bachelor’s Degree or higher in Information Systems, Computer Science, Data Science, Statistics, Business Administration, or a related quantitative discipline.
• Minimum 15 years of solid experience as a Business Analyst, Data Analyst, or Product Owner in data-heavy environments.
• Proven track record in launching enterprise-level data products, big data application(e.g. customer labeling ), CRM systems, or marketing automation tools.
• Prior experience in Banking regulatory, Financial Services, FinTech, or E-commerce sectors is highly preferred.
• Proficiency in SQL is mandatory. Experience with Big Data environments (Hadoop, Spark, Hive) or modern Data Warehouses (Snowflake, Databricks) is highly preferred.
• Expert in creating business-ready dashboards using Tableau, Power BI, or similar tools.
• Familiarity with CRM systems (PEGA,Salesforce, Adobe) and CDP (Customer Data Platforms) is highly advantageous.
• PMP, Agile/Scrum Product Owner certifications, or relevant Cloud Data credentials.

For more details about career opportunities with the Bank, please visit our website http://www.cncbinternational.com/careers/en/index.jsp. Please apply with full resume stating current and expected salaries.

Personal data collected will be used for recruitment related purposes only. Applicants not invited for interview within 6 weeks may consider their applications unsuccessful. However, applicants may be considered for other suitable positions within the Group for a period of not more than 2 years. Personal data will be destroyed at any time after 3 months.

China CITIC Bank International is committed to being an equal opportunities employer and intends to provide a work environment free of unlawful discrimination or harassment. All employment decisions will be made in a non-discriminatory manner.