Manage major donor relationships and funding strategies for Food for the Hungry in Eastern US. Oversee grant writing and develop donor communication strategies.
About the role
- Data and Analytics Technical Manager leading data and analytics solutions for clients in a professional services firm. Requires deep technical expertise in data architecture and analytics with a collaborative approach.
Responsibilities
- Architecting data and analytics solutions and leading teams to implement these solutions
- Lead overall project teams and/or technical teams in the definition and implementation of data and analytic solutions
- Function as a technical architect to develop and deliver data and AI assessments, strategies, and roadmaps
- Deliver rapid assessments to create gap analysis for the data and analytics roadmap
- Stay abreast of emerging trends, technologies, and industry developments in big data, cloud computing
- Develop and maintain best practices, standards, and guidelines for data management, data governance, and data security
- Collaborate with the sales and business development teams to identify customer needs and develop solution proposals
- Work closely with leaders and teams across Service Lines to deliver solutions through a unified, collaborative approach
- Provide mentorship and guidance to college hires and offshore teams
Requirements
- Bachelor's degree or higher in Computer Science, Information Technology, Business Administration, Engineering or related field.
- Minimum of 10 years of overall experience in IT
- 5+ years of experience designing data models across multiple subject areas and business domains.
- 5+ years of experience in designing and developing business intelligence solutions.
- 5+ years of optimizing data pipeline processes and database structures.
- Deep expertise in at least one major cloud data platform (Microsoft Fabric, Snowflake, Databricks)
- Previous experience in Data and Analytics with a consulting firm
- Proven record of leading and implementing data and analytics solutions across multiple clients
- Advanced understanding of various data platforms, tools and cloud capabilities available to support data modernization
- Proficient in BI visualization tools such as Power BI or Tableau.
- Proficient in SQL and Python (e.g. PySpark, Pandas)
- Expertise in defining, managing, and automating data pipelines / workflows.
- Excellent communication, presentation, and interpersonal skills.
Benefits
- Flexibility in your schedule
- Empowering you to balance life’s demands
- Competitive benefits and compensation package
Job title
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Experience level
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Degree requirement
Tech skills
Location requirements
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