Responsibilities:
• Responsible for working with cross-functional teams to drive process improvements by performing in-depth review of current state vs. target state data architecture and proposing modifications or re-engineering initiatives that simplifies the data ecosystem and maximizes value of our data assets throughout the data lifecycle from creation/acquisition, storage, consumption and disposition.
• As the business analysis lead, work closely with the business teams to understand the requirements in detail and partner with technology functions to formulate consumable technical requirements and define scope and objectives of each initiative.
• Develop conceptual designs and gain buy in from business product owners and technology delivery teams for all intake including maintenance projects.
• Work with ITPM and technology delivery teams to come up with estimates for projects with a goal towards process simplification and adherence to the target state per the new Data Operating Model.
• Provide in-depth and sophisticated analyses with interpretive thinking to define problems, develop innovative solutions and influence strategic functional decisions
• Contribute to continuous iterative exploration of design and delivery performance and other measures to gain insight and drive intake process optimization and capacity planning.
• Provide evaluative judgment based on analysis of information in complicated, unique and dynamic situations, drawing on diverse range of internal and external sources
Qualifications :
• 8+ years of experience within financial services and/or IT function in a large, matrixed, multinational organization; proven track record in supporting transformation and change and the ability to connect the dots to the organizational priorities
• Experience in system analysis and writing business and functional specifications
• Demonstrated track record of collaboration across multiple, disparate internal business groups
• Strong interpersonal and problem-solving skills to proactively address business questions and the ability to understand trade-offs and impacts across business and technology processes to cultivate a 'no surprises' approach
• Ability to manage multiple projects and priorities across teams and work effectively under pressure in a rapidly changing environment
• Strategic, analytical, and systematic thinker who consistently challenges the status quo and constructively challenges the team to drive change and continuous improvement.
• Strong team player: ability to lead, partner and negotiate with cross functional teams and across organizational boundaries to successfully deliver client needs
• Experience with the data flow and metadata through interconnected applications so as to support capture, organization, movement, transformation, storage and consumption of data
• Experience addressing inconsistencies in data and resolving data quality issues
• Ability to understand technical infrastructure, including application operations
• Strong technical background including software programming using tools such as SQL, Java, Scala or Python, Big Data tooling such as Spark, Hadoop and data visualization tools. Experience working with Cloud based data warehouse systems such as Snowflake on AWS or GCP will be a plus.
Salary Range: $110,000 to $125,000 per year
