Director, Data Strategy & Services
New
J
JobgetherData Strategy
United StatesFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- Business IntelligenceETLStakeholder managementData analytics
Requirements
- 7+ years of progressive leadership experience in data architecture, enterprise analytics, business intelligence, or data strategy roles.
- Proven experience designing and executing complex enterprise data migrations and software integration initiatives.
- Strong understanding of modern data architectures, ETL processes, BI platforms, cloud environments, and analytics solutions.
- Experience developing data governance frameworks, operational models, and scalable data management practices.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Business Administration, or a related technical discipline.
- Ability to influence and collaborate effectively across Product, Engineering, Sales, and Customer Success teams.
- Strong executive communication skills with the ability to translate complex technical concepts into clear business recommendations.
- Strong analytical, problem-solving, project leadership, and stakeholder management skills.
- Background in client-facing consulting, professional services, or premium analytics solution delivery is highly preferred.
- Data management or governance certifications such as DAMA-CDMP are a plus.
- Experience with AI-enabled technologies, advanced analytics applications, and emerging data capabilities is preferred.
Responsibilities
- Develop and evolve enterprise data architecture strategies that support scalable analytics, integrations, and product growth.
- Establish data standards, governance practices, and repeatable frameworks for data ingestion, transformation, management, and consumption.
- Align data roadmaps with business objectives, product strategies, engineering priorities, and customer analytics needs.
- Lead complex data migration initiatives, including scope definition, data mapping, transformation planning, validation processes, testing cycles, and production deployment.
- Oversee ETL activities, resolve technical challenges, manage remediation efforts, and ensure successful migration outcomes.
- Assess data readiness, improve data quality, and develop analytics solutions that enable customers and internal teams to make informed decisions.
- Translate business requirements into custom reporting, dashboards, analytics frameworks, and actionable insights.
- Support the development and commercialization of analytics services, AI-enabled offerings, and premium data solutions.
- Build data operating models, documentation standards, technical playbooks, and governance frameworks to support long-term scalability.
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