Assistant Vice President
6 months ago
Some careers have more impact than others.
If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.
HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
We are currently seeking an experienced professional to join our team in the role of Assistant Vice President - Business Consulting - DATA SBO.
Principal responsibilities
Design and implement data solutions to enable data sources to be effectively used for reporting, analysis, modeling, and specific use-cases. Lead the design and development of on-premise or on-cloud (GCP) data marts. Author and maintain complex ETL pipelines which process large datasets for downstream production systems and ML models, leveraging primarily SQL and Python. Perform Exploratory Data Analysis (EDA) activities to inform and support real-time marketing-campaign trigger development, such as obtaining insights from clickstream data and campaign sizing. Support real-time marketing campaign trigger development by authoring and maintaining data pipelines for filtering, transforming and aggregating streams of event data using low-code platforms such as Tealium AudienceStream, Pega CDH and Pega ESM. Support end-to-end testing of user journeys resulting from real-time marketing-triggers. Update and maintain data dictionaries, ensure data updates are complete, accurate and consistent. Ensure that data is sourced from trusted sources where possible and support work to transitioning data marts to leverage trusted sources as they become available. Work closely with ASP D&A, Marketing, Channels, and other business stakeholders to design, develop and maintain analytics enablers for supporting the needs of ASP sites. Support measurement of business potential and effectiveness. Make recommendations and identify improvement opportunities proactively to refine and enhance the analytics enablers and related processes and platforms. Develop and ensure adherence to an operating model and design, development, and maintenance best practices for data mart design and supporting analytics enablers. Support the exploration and documentation of on-premise processes and migration to a cloud-based environment including source data ingestion to cloud, quality checking, development and maintenance of data marts, and business logic migration. Reconciling business requirements with data availability by performing gap analysis on existing datasets and coordinating with IT team on new data-ingestion and existing data-enhancement efforts. Coordinate with IT on development of tools, features, and processes to enable the D&A team and enhance data mart development and maintenance. Directly or indirectly lead and steer the team in the right direction. Express ideas, share and present information clearly and concisely; articulate messages, modify approach, and build connections/trust. Ability to drive projects to execution by developing deliverables timelines and effectively managing stakeholders. Effectively manages cross business and functional stakeholders to provide the deliverables needed to drive projects to completion. Uplift analytics-centric technical capability and recommend seamless approaches and refinement in the related processes. Automate and streamline the analytics and standardized report generation processes riding on the effective analytics enablers. Work collaboratively with co-workers to manage and formulate analytical projects in an effective and efficient manner. Help shape the future of the analytics within the Wholesale Banking function as we move to modern data and analytics platforms. RequirementsMust have :
University degree in Computer Science or related field. 5+ years of relevant experience involving stake holder /expectation management, preferably in banking and financial sector. Proficiency supporting data and analytics efforts in an innovative environment to support business goals and communicate the results which can be understood by all parties. Experience with design and development of data marts to support AI, machine learning, analytics, and reporting work, especially on using data for implementing targeted campaigns and real-time triggers and track performance. Extensive data mining skills, ability to understand various data structures, both structured and unstructured, and an understanding of common data transformation and aggregation methods. Proficiency with SQL and Pythons is required. Experience with analytical tools offered by cloud platforms (GCP, Azure, AWS and / or AliCloud) and big data platforms such as Hadoop, Spark, etc. Strong team player with open mind, self-motivation and good communication, interpersonal skills as well as strong sense of responsibility and ability to learn quickly and adapt in a fast-paced environment. High technical aptitude, problem solving abilities with structured way of thinking, intellectual curiosity, motivation, and passion for data discovery. Detail oriented with full picture and customer first in mind. Interested in staying up to date on the latest advanced analytics and big data technologies. Fluent written and spoken English.Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.
Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.
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