Software Engineer

Jobtailor

Boston (MA)

On-site

USD 180,000 - 230,000

Full time

2 days ago

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Job summary

Jobtailor in Boston, MA, seeks a senior BI & Analytics leader to own the strategy, roadmap, and delivery of BI, advanced analytics, and AI‑driven products for North America Intermediary Distribution. You will hire, coach, and guide a high-performing team while managing vendors and ensuring timely, compliant delivery.

The role requires deep expertise in Python, Tableau, Snowflake, and AWS, with a track record of leading complex data architectures and multi-vendor environments.

Qualifications

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)

Responsibilities

Provide technical expertise and leadership to a BI and Analytics team
Own product strategy, roadmap, and delivery for BI, Advanced Analytics, and AI-driven products for 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 SLAs and project timelines
Oversee project design, configuration, performance, implementation, and service delivery
Review engineering designs 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/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 align with service management and SDLC
Troubleshoot development and test environment issues and perform 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

Skills

Python Proficiency

Tableau Dashboard Development

Project Management Experience

Coaching and Mentoring

Strong Communication Skills

Tools

Snowflake

AWS Redshift

AWS S3

AWS Glue

AWS Lambda

AWS Athena

Alation

Collibra

Informatica

Job description

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.

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