- Engage in detailed strategic planning sessions with the Vice President of Digital Products to refine the product vision, technology objectives, and facilitate the seamless integration of new products into the existing suite.
- Demonstrate expertise and lead by example in the utilization of modern data management technologies, actively engaging in coding, data architecture design, and hands-on problem-solving to guide teams through complex technical challenges.
- Facilitate team synergy, the establishment of clear product benchmarks, and the implementation of a robust feedback loop to iteratively refine product features and ensure excellence in delivery.
- Oversee the entire product development lifecycle orchestrating comprehensive planning, rigorous scheduling, and meticulous execution phase by crafting detailed project roadmaps, adhering to timelines, aligning resources effectively, and monitoring progress closely to guarantee the punctual and successful completion of product initiatives.
- Analyze customer needs and preferences, gauge market dynamics, and use these insights to shape product roadmaps, prioritize feature enhancements, and ensure products not only meet current market demands but also anticipate future trends.
- Enforce product compliance with the latest data privacy and security regulations by leading a cohesive effort with the Security team; developing and implementing comprehensive data protection policies, conducting regular security audits, and ensuring that all data management products are designed and updated in accordance with these standards.
- Develop and enhance the professional skills of team members by creating an environment that promotes cooperative teamwork alongside a driven, goal-oriented approach, fostering a culture of continuous innovation. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to . com.
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Technical Manager OF Data Management Platform - Bloomington, United States - Insight Global
Description
Seeking a dynamic Technical Director of Data Management Platform to lead the tactical development and execution of our data management strategies.
This individual will work closely with the Vice President of Digital Products to transform strategic visions into actionable plans, ensuring the alignment of the data management platform development with overarching digital product business goals.
The role demands a hands-on approach to both technology and in the managing of the data product lifecycle, from concept to launch, with a strong focus on analytics, data-driven decision-making, and cross-functional collaboration.
Key Responsibilities:
. * Possess a Bachelor's or higher degree in Computer Science, Information Systems, Business Administration, or a related field, demonstrating a strong foundational understanding of technical and business principles. * Bring at least 7 years of hands-on experience with data management technologies, showcasing a deep understanding of the field's complexities and nuances. * Have a solid grasp of Agile methodologies, evidenced by familiarity with tools such as Jira, to enhance project management and team efficiency. * Boast a background in data governance and quality frameworks, with a focus on developing products driven by data insights and analytics. * Show competency in data modeling and transformation using tools like DBT, Amazon Glue, or Azure Data Factory, or similar technologies. * Understand software engineering principles and best practices profoundly, with a skill to apply this knowledge to analytics code effectively. * Have experience with leading data warehousing technologies like Snowflake or Databricks and expertise in creating efficient data models. * Be knowledgeable in testing methodologies, data quality assurance, and anomaly detection to ensure data integrity and reliability. * Demonstrate familiarity with version control systems such as Git or SVN, including cataloging and documentation of analytics code. * Possess strong analytical and problem-solving skills, with a demonstrated ability to address and rectify complex data-related challenges.