Software Engineer

• Provide technical expertise and leadership to a BI and Analytics team
• Own product strategy, roadmap, and delivery for Business Intelligence, Advanced Analytics, and AI-driven products supporting North America Intermediary Distribution
• Hire, coach, and manage performance and talent for a high-performing team
• Manage vendor partners and coordinate direct reports, contractors, and vendors
• Provide work direction, delegation, and prioritization
• Ensure compliance with company policies, processes, and procedures
• Deliver robust technical solutions while maintaining service-level commitments and project timelines
• Oversee project design, configuration, performance, implementation, and service delivery
• Review engineering designs and associated artifacts and documentation for technical correctness and completeness
• Verify build activities against approved engineering diagrams and redirect work as necessary
• Oversee handoff of design solutions and confirm testing and validation before final release
• Improve technical processes, policies, best practices, performance, and technology availability
• Develop consistent technical build, implementation, and support processes
• Ensure designs adhere to standards and improvements align with service management principles and SDLC methods
• Troubleshoot development and test environment issues and participate in root-cause analysis
• Lead corrective actions and design/build improvements to prevent recurrence
• Define, track, and measure department performance and metrics
• Prepare and distribute reports, models, status updates, and statistics to technology leadership
• Escalate issues and problems to leadership as needed
• Participate in strategic and financial planning
• Maintain technical subject matter expertise and evaluate emerging technologies
• Present business value propositions for emerging technologies to technology leadership
• Maintain broad understanding of business needs and how technologies support the business

Requirements

• Bachelor’s degree in Computer Science, Engineering, related field, or equivalent relevant work experience
• 5-7 years of relevant experience required
• 7-10+ years of progressive experience with relevant enterprise technologies, including hands-on and leadership roles
• 3-5+ years of project management experience with a proven track record for delivering projects and driving execution
• Experience influencing, leading, and coaching without direct leadership responsibility
• Superior reasoning and troubleshooting skills
• Experience in Asset Management or Financial Services, with understanding of investment products, sales and redemptions, and AUM
• Advanced proficiency in Python for data engineering, analytics, automation, and data quality validation
• Hands-on experience with Tableau for enterprise reporting, dashboard development, semantic layer design, and self-service analytics enablement
• Experience designing and developing solutions on Snowflake and AWS Redshift
• Expertise in data modeling, dimensional modeling, semantic data layers, and analytics-ready data structures
• Ability to design and implement complex data transformation pipelines integrating internal and external sources
• Experience with Master Data Management, reference data management, data governance, metadata management, and data lineage
• Understanding of enterprise data architecture, data warehousing, lakehouse concepts, ETL/ELT frameworks, and real-time data processing
• Experience with AWS S3, Glue Catalog, Lambda, Athena, and IAM
• Familiarity with Alation, Collibra, or Informatica
• Experience optimizing SQL workloads and performance tuning across large-scale analytical datasets
• Knowledge of data quality monitoring, reconciliation processes, and automated testing frameworks
• 2+ years of direct people-management experience, including performance management (preferred)
• Strong written and verbal communication skills
• Experience in a multi-vendor outsourced environment (preferred)
• Ability to negotiate or persuade others in complex situations (preferred)

Core Competencies

Demonstrates expertise in Business Intelligence, Advanced Analytics, and AI-driven product strategy, with a strong focus on data engineering and analytics solutions. Proven ability to lead high-performing teams, manage vendor relationships, and ensure compliance with industry standards and best practices.

Highest-signal resume keywords

• Business Intelligence Leadership
• Advanced Analytics Expertise
• Python Proficiency
• Tableau Dashboard Development
• Project Management Experience

ATS Optimization Keywords

Hard Skills

• Data Modeling
• Dimensional Modeling
• Data Transformation Pipelines
• SQL Performance Tuning
• Master Data Management
• ETL/ELT Frameworks
• Data Governance
• Data Quality Validation
• Analytics-Ready Data Structures
• Real-Time Data Processing

Soft Skills

• Strong Communication Skills
• Coaching and Mentoring
• Negotiation Skills
• Problem-Solving
• Team Leadership

Industry Keywords

• Asset Management
• Financial Services
• Investment Products
• Sales and Redemptions
• AUM
• Data Architecture
• Data Warehousing
• Lakehouse Concepts
• Multi-Vendor Outsourced Environment
• Performance Management

Tools & Technologies

• Tableau
• Snowflake
• AWS Redshift
• AWS S3
• AWS Glue
• AWS Lambda
• AWS Athena
• Alation
• Collibra
• Informatica