Lead and mentor a global team of Application Engineers to deliver agreed initiatives within established timelines.
Drive operational excellence by ensuring application integrations and incident response achieve agreed SLA (Service Level Agreement) metrics.
Champion continuous improvement through automation, solution optimization, and root cause analysis of incidents.
Lead design, implementation and support of application integrations leveraging Application Engineering experience and knowledge of the Insurance and Asset Management business domains.
Lead design and implementation of application integrations leveraging Cloud tools like Workato and Snowflake for implementation of data pipelines.
Collaborate with cross-functional teams to ensure alignment between application integration initiatives and broader Brookfield architecture, SDLC, ITIL, cyber and tooling standards.
Ensure documentation for application integrations are maintained in alignment with Brookfield and data platform standards ex. Solution architecture diagrams, interface inventories etc.
Implement data validation, normalization and cleansing processes to ensure accuracy and integrity of application integrations.
Ensure identification and implementation of IT non-functional requirements such as timely alerting and logging of application integration solutions for proactive troubleshooting of incidents or anomalous behavior.
Lead migration initiative of existing legacy (C# code, SQL Server stored procedures and Informatica integration components) to Cloud environment (Snowflake, Workato, Azure DevOps), ensuring consistent solution design, optimal performance, stability and scalability.
Lead team performing after-hours support of applicable application and integration solution components.
Assess and address improvement opportunities associated with application integration pipelines to proactively minimize business impact.
Design and implement scalable architectures within cloud data platforms like Snowflake to support analytics, reporting and business intelligence initiatives.
Identify areas for optimization within existing workflows and system processes and devise plans to execute improvements for operational efficiency.
Partner with Vice President, Business Systems Analysis to implement requirements for system changes and ensure successful delivery of all in scope application components.
Partner closely with business stakeholders to understand requirements and formulate application solutions that address business needs.
Partner with end users to develop automated workflows for key reporting processes and ensure governance and controls for underlying data and integrations.
Communicate application solution architectures to technical and non-technical audiences.
Partner with business end users on maintaining systems to enable ad-hoc or periodic analytics and cashflow runs in production.
A Bachelor's degree in Computer Science, Information Management, or related discipline.
10+ years of hands-on experience in application engineering and optimization with exposure to data platforms such as Snowflake or other similar platforms with specialization in the Asset Management or Insurance industry.
Strong leadership, communication and collaboration skills, with the ability to engage cross-functional teams.
Experience with Asset Management or Insurance business domains, specifically in terms of data models across the Public and Private asset class trade lifecycles.
Experience with Asset Management applications such as Aladdin/ADC, Clearwater/LPX, WSO, SS&C PLM, Mercatus, Numerix, TriOptima, Bloomberg AIM, and Duco.
Experience with Actuarial applications such as FinX, AON Pathwise, Moody’s Axis and Milliman MG Alfa.
Hands-on experience with data orchestration and workflow management using tools such as Workato or other similar platforms.
Proven expertise in ETL/ELT, data integration concepts with extensive experience with REST API, Python, Snowflake, SQL Server, XML, JSON, CSV.
Using best practice data frameworks like Data Centric Development or Medalion Architecture when onboarding data, ensuring structures and efficient data integrations processes.
Familiarity or experience in source code management and continuous integration practice using Azure DevOps.
Strong analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities.
Ability to assess and manage risks within application integrations and implement effective mitigation strategies.
Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
Experience leveraging AI tools for delivering business value is a plus.