Business Function:
Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage most the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.
Key Responsibilities
Make your mark by helping us shape how we interact with our customers and create experiences that matters to them, to reimagine Banking and Customer Servicing for the digital age.
In your role as Data Translator, you will be responsible for Business Solutions Analytics using a data-driven approach, and be able to leverage advanced analytics and design for real time experimentation. Your focus will be on customer journeys and optimizing the customer's experience across our digital touchpoints.
As a data translator, you will also be responsible for partnering with the business, analytical, technology and engineering teams to evolve the data and product platform features (functional and non-functional) and drive business outcomes. Part of your role will be identifying opportunities to improve our services, drive process improvements and leverage real-time analytics for better decision-making.
Your key responsibilities:
- Play a SME position as a data translator to drive business impact:
- Lead the strategic AI / ML approach, alignment and its usage towards the delivery of tangible business outcomes
- Be the bridge between Technology teams, Data Scientist, SMEs and Product Owners to drive collaboration of data usage and advanced analytics in the right way
- Liaise with Data Scientists to better improve and scale-up our current Hyper-Personalization solutions across locations
- Understand VOCs and business challenges, and to advocate a data-driven approach towards predictive analytics at scale
- Ensures hypotheses driven experiments are designed, conducted and analysed in an effective manner, developing insights and recommendations that will lead to business objectives
- Maintain a close relationship with customers and stakeholders to comprehend and communicate their needs and participate in validation of the solutions
- Measures and reports on business outcomes and provides regular updates to stakeholders
- Stays current with industry trends and employs a continuous improvement methodology
- Work closely with Operational and Servicing teams to drive adoption and meet KPIs
- Deliver the right business outcomes
- Develop and execute on project plans; identify schedules, specifications, risks and contingency plan
- Drive and evolve on the platform roadmap; features and capabilities with a focus on real time digital experimentation and customer intervention
- Produce accurate and detailed project / test reports and presentations to update on project milestones and status to management on a timely basis
- Embrace and promote the growth mindset
- Find creative ways to drive continuous improvement of products / process based on metrics
- Be a catalyst for creating a culture of experimentation (test, learn, scale) to drive growth
- Effectively apply Agile delivery methods and enforce DBS project standards
- Stays current with industry trends and employs a continuous improvement methodology
Key Requirements
You have:
Degree holder with a minimum of 5 years' experience in product management, business process improvement or project management areas Background preferably with experience in implementing quantitative analysis on digital products that is customer facing You have stories you could share about what problems you thought you were solving at first, but through testing and iteration, came to solve a much bigger and better problem that resulted in positive outcomes all-around Proven experience in analysing customer requirements, customer journey design and functional testing Excellent communication and interpersonal skills with good analytical and problem-solving skills Collaborative with cultural understanding of working with cross-country teams Proven track record in delivering outcomes even in a complex environment Meticulous and systematic with an eye for detail Knowledge of data science techniques and technologies with adequate understanding of details associated with each (e.g. data instrumentation and acquisition, overfitting/underfitting, model refresh, etc.) Familiarity with big data technologies such as Spark, Hive. Familiarity with software development methodology. Not mandatory, but will be an added advantage
Knowledge or work experience in financial services domain Technical skills and knowledge on Agile methodologies and AI/ML Technology background / knowledge with experience in system and analytics implementation Familiar with machine learning framework and different tasks performed during the modelling process Past experience in development of data science projects Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures.
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We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements. |
