Senior Data Strategist
4 weeks ago
DBS Bank Limited is seeking a visionary Senior Data Strategist to spearhead the development of cutting-edge data analytics solutions. As a key member of our Group Technology and Operations (T&O) Data Chapter, you will be responsible for driving business outcomes through data-driven insights and strategic partnerships.
About the Role
As a Senior Data Strategist, you will lead the charge in embedding data and analytics pervasively throughout T&O operations. Your focus will be on ensuring sustainable growth and economic impact within the organization. This will require key partnerships across business, technology, transformation, and data chapter teams.
Key Responsibilities:
- Develop and execute scalable data and advanced analytical solutions with significant economic impact.
- Translate business problems/opportunities into tangible analytics requirements, including AI/ML initiatives.
- Lead the development of control towers utilizing the Data-Driven Operation Model (DDOM).
- Evaluate new techniques and technologies to address business challenges and leverage for internal improvements.
- Manage a portfolio of initiatives across Operate and Build, considering priority, impact, and risk.
- Oversee the measurement, development, and execution of initiatives and workstreams.
- Champion a culture of experimentation and test-learn-scale approach to drive continuous improvement towards target outcomes.
Requirements:
- Bachelor's degree (or higher) with a minimum of 10 years of progressive experience in data analytics and business intelligence.
- Strong leadership and senior stakeholder management skills.
- Proven track record of successfully leading and delivering data-driven and data science initiatives with 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 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, interpreting business needs into analytical requirements.
- Well-versed with data analytics techniques like predictive, prescriptive, ML, and AI.
- Passionate about technology and analytics, industry trends, and developments.
Preferred Qualifications:
- Knowledge or work experience in the financial services domain.
- Familiarity with statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
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