•Contribute to establishment of strategy roadmaps for data platform components such as relational database technologies, new NoSQL technologies and big data technologies, in a pragmatic way delivering value to the business.
•Contribute to establishment of strategy roadmaps for data science, ETL, analytics, machine learning and artificial intelligence components in a pragmatic way delivering value to the business.
•Work with delivery and infrastructure teams to create scalable architecture, and provide an architecture oversight of implementation
•Interact with vendors, evaluate 3rd party products and provide results, including, but not limited to: quality, performance, and integration methodology.
•Create best practices and example code; do proof of concepts and publish EA positioning paper
•Come up with business justification, usage projection and capacity needs of the shared platform
•Act as a thought leader in emerging field of data science, AI and Machine Learning; and work with data scientists across the organization to build the practice
•Knows and applies the End to End Delivery Model processes, Investment Framework, Architecture Process and tools to ensure production of quality deliverables.
•Advocates and complies with security, risk and compliance ensuring identification of risks, dependencies, gaps, misalignment, and technical debt and developing mitigation strategies for the portfolio.
•Evaluates and recommends appropriate blend of resources (directs and matrixed) to meet portfolio project requirements.
•Monitors all aspects of projects (including estimation, sourcing, budgeting, scheduling, quality management, implementation, risk management and regulatory requirements).
•Establishes metrics for measuring key project deliverables and controls scope and change management issues.
•Actively contributes expertise and mentors others to accomplish project deliverables/goals.
•Identify opportunities, understand technical needs of projects and convert them into enterprise requirements. Act as a technical product owner where applicable for a service/program, and prioritize and manage enterprise requirements, and create a business justification
•Manages performance of direct reports to create high performing teams.
•Invests time in identifying and recommending development plans for direct reports to grow capabilities.
•Maintains awareness of emerging technologies, industry trends, and contributes to architecture best practices.
Minimum Requirements: Bachelor’s degree and 8 years of experience in systems engineering or an equivalent combination of education and work experience. Broad functional knowledge in defining technology requirements. Ability to interpret internal and external business challenges and implement best practices to improve products, processes, or services. Ability to lead projects of significant complexity and risk exposure. Ability to exercise judgment in solving technical, operational, and organizational challenges in the context of business objectives and priorities. Ability to influence others to adopt a new perspective and handle interpersonal issues with tact and diplomacy. Ability to manage a team, including identifying and recruiting talent, managing performance, and making decisions about resource allocation.
- Able to demonstrate examples of successfully leading and managing cross functional/business projects
- Knowledge of budgeting processes & project management and awareness of financials to create business proposals for technology investments/project portfolios
- Experienced in leading teams including performance management and responsibility for decisions on resources/direct reports, devolved budgets and timelines for portfolio.
- Able to review and recommend improvements to the End to End Delivery Model processes and tools
Preferred Requirements: Master’s degree or MBA and 10 years of experience in business analysis or an equivalent combination of education and work experience. Banking or financial services experience. Prior management experience. Experience in leading large-scale complex projects from beginning to end.
Exposure to the following:
- Traditional relational databases like DB2, Oracle, MySQL etc.
- NoSQL technologies like MangoDB, Couchbase, Cassandra etc.
- Big data technologies like Hadoop, HDFS, Kafka, Storm, Sparks etc.
- ETL, reporting and analytics products like Cognos, SAS etc.
- Cloud providers (Azure, Amazon etc.) and management of Hybrid Private/Public Cloud Environment
- PMP, Prince or equivalent certification desirable.
Equal Opportunity Employer: SunTrust supports a diverse workforce and is a Drug Testing and Equal Opportunity Employer. SunTrust does not discriminate against individuals on the basis of race, creed, color, gender, religion, national originTo review the EEO Poster, copy and paste the following link into your browser: http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf