SummaryThe Distribution Intelligence team is a part of Distribution and our goal is to create competitive advantages, accelerate growth, and delight customers by bringing together high performing Data, Analytics, & Technology solutions.
The Director of Distribution Data Strategy will be a data thought leader, partnering with teams across the enterprise to shape and execute a cutting-edge approach to data development, governance and delivery. This role will lead the implementation of the data strategy, develop scalable data solutions, and serve as a key liaison between business, technology, and vendor stakeholders. The ideal candidate combines deep technical skills in data engineering and architecture with a strong understanding of the asset management business processes, particularly in Sales and Marketing.
Key Responsibilities- Lead implementation of Harbor's Distribution Data strategy ensuring that both business and enterprise requirements are met for scope, target state, success criteria, and progress.
- Develop and maintain the architecture of the distribution data ecosystem that delivers scalable data solutions that support analytics, operational efficiency, and strategic decision-making.
- Identify, design, and implement internal process improvements, automating manual processes and optimizing data delivery, re-designing infrastructure for greater scalability.
- Manage complex data projects. Act as a liaison between our users, vendors, and technology teams to coordinate resolutions. Proactively manage backlog that addresses stakeholder needs in order of strategic priority.
- Build, enhance and maintain advanced queries, views and stored procedures
- Manage and maintain data within redshift/snowflake internal database to ensure data adheres to data standards.
- Establish, refine and enhance holistic data management and governance protocols to mitigate potential data quality vulnerabilities and prioritize mitigation efforts.
Minimum Qualifications- 8+ years working with relational databases and advanced working SQL knowledge. Working experience in Cloud technology - Azure, AWS, Snowflake etc.
- 4+ years of Python scripting language experience.
- Experience in the asset management industry with a strong understanding of financial services data, products and external data providers.
- Salesforce CRM knowledge, proficient in both classic and lightning enabled Salesforce.com instances. Proficient using Salesforce Dataloader to maintain CRM data.
- Bachelor's degree in computer science, information technology or similar field required.
Knowledge, Skills & Abilities Required- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Experience integrating 3rd party data providers and services. A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
- Proficient in building modern data pipelines including ETL and ELT using structured data sources.
- Experience building advanced custom GPTs and agent-based workflows, with a strong understanding of agent memory architecture. Experience creating and implementing skills, along with proficiency in Claude Code and Codex.
- Experience working with cross-functional teams in a dynamic environment.
- Experience in data strategy including data governance, metadata and MDM process.
- Ability to display independent judgment to make decisions where no clear precedents exist, adjusts plans and deliverables with the right approvals and the business goals in mind. Ensure that all standards are followed, and controls are adequately designed and implemented.
Compensation Pay Range: $180,000 - $190,000
This position is a hybrid opportunity based in our Boston office. #LI-Hybrid
