Technical Program Manager (Data & Analytics Integration )

About the Role

Day-to-day, the Technical Program Manager will operate in a heterogeneous environment where no single platform dominates, requiring the ability to create structure from ambiguity. Success in this role demands a strong understanding of data integration, migration, manipulation, and management processes, coupled with the ability to communicate effectively with both technical and business stakeholders.

The role is part of a team that values innovation and the ability to drive change through data-driven insights. The ideal candidate will have a proven track record of leading large-scale data integration or migration programs, with a deep understanding of ETL/ELT concepts, data dependencies, and the nuances of working with various data and analytics platforms.

What You Will Do

• Lead the development of data integration and migration strategies, ensuring alignment with business objectives.
• Facilitate requirements gathering and dependency discussions between business and technical stakeholders.
• Develop and manage project plans, resource allocation, and project timelines.
• Collaborate with cross-functional teams to design and implement data management processes.
• Identify and mitigate risks associated with data integration and migration projects.
• Ensure data quality and integrity through the development and implementation of data validation and reconciliation processes.
• Develop and maintain documentation of data management processes and data flows.
• Communicate project status, issues, and changes to stakeholders.
• Foster a culture of data-driven decision-making across the organization.

What We Are Looking For

• Senior program management experience, preferably in a data integration or analytics role.
• Experience in leading large-scale data migration or integration programs, with a focus on process and strategy rather than hands-on coding.
• Strong understanding of ETL/ELT concepts, data warehouse architecture, and data governance principles.
• Familiarity with Salesforce and other business systems data, including HR/payroll, ERP, and CRM systems.
• Ability to navigate complex data environments and drive structure from ambiguity.
• Excellent communication and interpersonal skills, with the ability to engage with both technical and business stakeholders.
• Experience working in a fast-paced, dynamic environment with multiple priorities and deadlines.
• Strong analytical and problem-solving skills, with attention to detail and quality.

Nice to Have

• Prior experience in M&A or acquisition integration, particularly in managing data integration aspects.
• Knowledge of common data and analytics platforms and tools, such as Snowflake, Tableau, Power BI, and SQL databases.
• Experience in evaluating tooling options and discussing licensing models and trade-offs.

Benefits and Perks

• Competitive compensation package.
• Opportunity to work remotely with a dynamic and innovative company.
• Professional development opportunities, including training and conference sponsorships.
• Health, dental, and vision insurance, with flexible spending accounts.
• Generous PTO policy and paid holidays.
• Access to the latest tools and technologies in data integration and analytics.
• Collaborative and supportive team environment.

• Highlight your experience with Salesforce and other business systems data, emphasizing your ability to understand and manage data flows across different systems.
• Develop a strong understanding of ETL/ELT concepts, data dependencies, and data governance principles to stand out in interviews.
• Prepare examples of leading large-scale data migration or integration projects, focusing on your strategic and problem-solving skills rather than technical coding abilities.
• Showcase your communication skills by being ready to discuss complex data concepts with both technical and business stakeholders.
• Research the company to understand its current data integration challenges and be prepared to discuss how your skills and experience can address these challenges.
• Emphasize your ability to work in ambiguous environments, creating structure and driving decisions with stakeholders.
• Be prepared to discuss your approach to data quality and integrity, including how you ensure data validation and reconciliation in your projects.