Vacancy expired!
- Understand current and future enterprise data needs in the context of market dynamics, client requirements and apply insights to recommend short and/or long-term goals for data strategy
- Apply deep understanding of the current business, industry context, data vendors and technologies, regulatory context, to develop future vision for enterprise wide data capabilities and roadmap
- Foster a culture of data entrepreneurship, reuse and collaboration across business units
- Align business driven data strategy with IT strategy including Cloud, on prem, distributed architectures
- Drive innovation in data capabilities by using digital technologies including AI/ML, big data, data mining, data analytics to improve DTCC products and solutions
- Lead workstreams and projects to craft data strategy & architecture artifacts to deliver encouraged business case and value proposition (risk, resilience, complexity, reuse, total cost of ownership etc.)
- Generate innovative ideas for data capabilities, deliver tangible proof of concepts working in collaboration with various Business Units and IT
- Develop a deep understanding of each business division's strategy, business model, operating model, processes and educate functions on data strategy, data capabilities, technologies
- Create effective working relationships and build alignment with business teams, and key subject matter experts
- Collaborate with IT, businesses, and functional areas to craft and build balanced data solutions
- Display an efficiency in applying frameworks and structure to "ill structured" problems and issues and making the aggressive decisions needed to address the enterprise and/or business divisions priorities
- Synthesize analysis into clear recommendations and findings that add value
- Provide expertise across the company to deliver mentorship and support on key challenges facing our clients
- Mitigates risk by following established procedures, spotting key errors and demonstrating strong ethical behavior.
- Minimum of 10 years of related experience
- Bachelor's degree preferred with master's or equivalent experience
- Deep expertise and proved track record in leading and delivering on sizable / enterprise and BU scale portfolio in data analytics, data solutions, cloud-based solutions, and enterprise data management
- Clear understanding of investment life cycle (Trading, Portfolio construction, Post-trade, compliance, Middle Office, Performance etc.)
- Strong solid understanding of different asset types (Equity, FI, Derivatives etc.), data domains (Reference, Trade, Index, Positions, Analytics etc.) is required.
- Prior experience working in large financial ecosystems, service provider will be big plus
- Experience in banking, capital markets, or financial services organizations preferred
Vacancy expired!