Daniel Burke
Senior Product Manager at Comcast Advertising
Based in Philadelphia, United States
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Seniority
Manager
Department
Sales & Business Development
Location
Philadelphia
Industry
Advertising Services
Company size
1.7K
Contact information
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d•••••••@comcastadvertising.com
Phone
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Background
About Daniel Burke
Focused, results-driven Manager of Product Management and Data Analysis with extensive experience working within lead roles and fast-paced positions, with an emphasis on targeted strategies and plans, well-managed operations, and superior service. Knowledgeable, innovative leader who creates customized solutions and positive outcomes. Strong communication skills to work with individuals of all professional levels, areas of expertise, and personal backgrounds. Exceptional management skills to lead successful teams, initiatives, and activities. Proven record in achieving goals. 10+ years of product management and data analysis in financial services and digital marketing Experienced with Agile development, using JIRA, Confluence, Lucidchart, and other tools for roadmapping, story refinement, and prioritization. Skilled with using data to build objectives and key results (OKRs), track key performance metrics, and manage software teams. Familiar with SQL, Snowflake, Python, Databricks, Tableau, Ab Initio, AWS, SAS, R, GitHub, shell scripting, Google Workspace, and Microsoft Office Suite. Highlights- Consistently exceeded objectives, earned top marks on reviews, and garnered praise from internal and external contacts- Effectively managed a range of enterprise-level initiatives, often happening concurrently, from inception to completion- Built an application for Capital One that delivered over 500 complex datasets from internal and external systems of record, including high priority data for regulatory teams- Successfully led multiple software teams of 10-20 developers involved in data solutions through detailed plans, seamless communications, and a motivational management ability- Migrated the entire slate of Bank ETL processes at Capital One within schedule through analysis and synthesis of data lineage for 5k ETL jobs, with recommendations and prioritizations for delivery teams and other stakeholders- Gained skills that transfer well to any position involving data analysis, product management, technology, and more.
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