SVP, Data Translator, Technology - Singapur, Singapore - DBS Bank

DBS Bank Singapur, Singapore

5 days ago

Description

Business Function

Group Technology and Operations (T&O) Data Chapter is committed to building maximising key data and analytical capabilities to transform T&O. Data empowers our everyday operations and through a strategic focus across operations automation, service management, quality & control checks, and customer / employee experience, we aim to enable an AI Fuelled T&O.

About the role

Make your mark by helping us enable T&O to create experiences that matters to our employees and customers, through embedding data and analytics pervasively through T&O operations. In your role as a senior Data Translator, you will lead and partner T&O strategically in this journey. Your focus will be on ensuring we break new grounds sustainably and create economic impact within T&O. This will require key partnerships across business, technology, transformation and data chapter teams.

Responsibilities:

Strategic & Thought Leadership:

SME in driving scalable data and advanced analytical solutions with economic impact.

Lead across strategy, alignment, and adoption within the organization's overall goals and target outcomes.

Strong experience in stakeholder management and ability in storytelling even for complex areas.

Lead the overall reporting and updates to executive forums and stakeholders.

Strong Collaborator & Operational Excellence:

Foster strong collaboration between Business, Technology, and Data SME teams to ensure cohesive integration of data and advanced analytics.

Understand Voice of the Customer (VOC), manage business challenges, and challenge status quo to shape our strategy across deliverables.

Manage a portfolio of initiatives across Operate and Build effectively taking into consideration the lens of priority, impact, and risk.

Oversee the measurement, development, and execution of initiatives and workstreams.

Growth Mindset & Being Innovative:

Champion a culture of experimentation and test-learn-scale approach to drive continuous improvement towards target outcomes.

Stay informed about industry trends and technical capabilities, and to leverage for internal improvements.

Requirements :

Bachelor's degree (or higher) with a minimum of 10 years of progressive experience in data analytics and business intelligence, with several years of experience in managing data analytics product delivery.

Strong leadership and senior stakeholder management skills.

Proven track record of successfully leading and delivering data-driven and data science initiatives that resulted in significant business outcomes.

Exceptional communication, interpersonal, analytical, and problem-solving skills.

Strong ability to clearly communicate and story tell to non-technical audiences.

Self-motivated with a can-do attitude. Comfortable in navigating ambiguity in a complex environment.

Collaborative mindset with a demonstrated ability to work effectively with cross-functional teams and departments.

Strong experience in business and analytical analysis , interpret business needs into analytical requirements. Proven ability in problem solving through iteration and hypothesis testing.

Well versed with data analytics techniques like predictive, prescriptive, ML and AI.

Passionate with technology and analytics, industry trends and developments.

Not mandatory, but will be an added advantage:

Knowledge or work experience in financial services domain.

Familiarity in statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.

Note: This job description provides an overview of typical responsibilities and qualifications for the Senior Vice President role in the analytics domain. The role may evolve and require additional responsibilities based on organizational needs and priorities.

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