Product Manager, Enterprise Data Engineering Lead
2 weeks ago
- Working seamlessly with stakeholders at all levels, including Executives, Product Management, Centers of Excellence, Business leaders, and others.
- Partnering with stakeholders to define data pipeline solutions that provide actionable, data-driven insights.
- Working closely with Business Units to understand data pipeline needs and translating them into appropriate feature sets.
- Ensuring the definition and management of product releases and project teams meet the defined schedules.
- Ensuring all customer and quality requirements are satisfied in the data pipeline and solution delivery.
- Identifying opportunities for process improvements with a focus on automation, data delivery optimization, self-service, and scalability.
- Collaborating with various infrastructure and architecture teams to optimize acquisition and transformation of data from a wide variety of data sources using SQL and other 'big data' technologies.
- Defining self-service/highly scalable visualization and reporting strategies across the enterprise.
- Validating that data is prepared for efficient and effective visualization and reporting.
- Ensuring data security across all implementations, data centers, cloud providers, client machines, etc.
- Collaborating with team members to build and optimize our company's data assets into an innovative competitive advantage.
- Bachelor's Degree in Business, Marketing, MIS, or Computer Science is required.
- Three to five years product management experience is required, with product focus on data strategy and data pipeline solutions strongly preferred. Prior managerial experience and work in a high-tech environment are preferable.
- Working knowledge and practical experience with MSSQL and other relational databases.
- Understanding of various big data management tools/techniques, e.g. Hadoop, Snowflake, Redshift, Tableau, PowerBI, Databricks, etc.
- Understanding of data governance concepts.
- Prior experience with Salesforce, including knowledge of the data model, CRMA recipes, and embedded dashboards.
- Ability to use tools and methods like SQL, Excel, and Tableau to perform data reconciliation.
- Strong leadership, teamwork, and collaboration skills.
- Strong consensus building skills and the ability to find common ground or mutual agreement across complex topics involving compromise, negotiation, and similar tactics.
- Ability to quickly learn the data and business processes within the applicable source applications.
- Ability to express complex, technical topics to management, peers, and others who may not possess a strong data background.
- Ability to define clear prioritization of requested business requests, and flexibility to adapt to changing business priorities.
- Strong customer service skills.
- A positive team player with a sense of urgency directed toward the provision of successful solutions for specific projects.
- Exhibits a passion for learning and continuous improvement.
- Exhibits a commitment to the utilization of defined standards and processes.
- Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms and maintain effective work relations with those encountered in the course of employment.
- Proactive at identifying and recommending areas for improvement and increased reliability.
- Ability to create technical documentation and a desire to share that knowledge amongst team members.
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