Vacancy expired!
- Bachelor’s degree in Information Technology, Computer Science, or related field.
- 15+ years in senior technology/engineering leadership roles within financial services or a related industry; specific experience in strategy development, enterprise and/or solution architecture and systems integration in a complex distributed environment employing a mix of modern and legacy technologies
- Comprehensive functional and technical knowledge within the assigned or related domain developed through practical experience in defining and delivering technology solutions within a global and diverse financial services environment
- Core processor domain market insights. In-depth hands-on knowledge of integration and streaming platform, on-prem hosted platforms and cloud technologies (SaaS, PaaS and IaaS)
- Strongly developed strategic, analytical and communication skills evidenced by experience in formulating strategic scenarios, evaluating trade-offs within a robust commercial framework, developing related financial models, and designing practical execution plans
- Practical experience in architecture roles within a complex commercial environment including assisting in setting architectural principles, helping define the reference architecture, building technology roadmaps aligned with business plans and helping to institute governance to ensure alignment of investment to strategy/architecture
- Ability to influence and negotiate with senior leaders (across functions); may communicate and negotiate with external parties
- Strong interpersonal and communication skills; proven ability to engage and influence technology and business stakeholders at most levels within an organization on complex
- technical and commercial concepts
- Proven ability to assist in attracting, developing, engaging, and sustaining world-class engineering/technical talent; build collaborative higher performing teams and foster a culture of innovation and excellence
- Role Specific Experience:
- Experience in architecting, designing, leading and delivery of digital data platforms
- Knowledge of and experience with Big Data technologies, Amazon Web Services (AWS), Teradata, HADOOP, NOSQL, Kafka, Apache Spark, Snowflake, Databricks, BI tools, Artificial Intelligence & Machine Learning Models leveraging H2O.ai, R, Anaconda, Python, SAS, Data stage, Talend, Ab-initio, Distributed Queries, Kudu, Hive, Parquet
- Experience in formulating and executing commercial arrangements for products and/or services
- Broad financial expertise with knowledge of corporate affairs, financial and economic fundamentals, and business policies, products, processes, systems, and roles.