Manager, Data Success Management

Location

United States

Posted

36 days ago

Salary

$136.6K / year

Seniority

Senior

Bachelor DegreeEnglishPythonSQL

Job Description

Manager, Data Success Management

murmuration

• Manage, coach, and develop multiple Data Success Managers, supporting strong performance, workload planning, and professional growth. • Partner with the Sr. Manager, Data Success Management, to help manage the broader team, shape priorities, strengthen operating norms, and improve how the team works. • Directly support a small number of partners, delivering high-quality service, translating partner needs into clear requirements, and ensuring strong outcomes. • Oversee the day-to-day execution of core data operations, including data intake, research, acquisition, validation, issue resolution, and delivery. • Ensure partner and vendor data is accurate, reliable, well-documented, and fit for use across Murmuration’s products, internal systems, and partner-facing work. • Identify opportunities to improve efficiency, consistency, scalability, and quality across team workflows, and implement process improvements that refine how we support partners. • Serve as a technical resource for the team by using SQL, Python, and strong data management practices to guide execution, troubleshoot issues, and improve workflows. • Manage priorities and backlogs, balancing delivery timelines, data quality, partner needs, and evolving organizational priorities. • Communicate clearly about status, risks, dependencies, and outcomes, while fostering an inclusive, collaborative team environment.

Job Requirements

  • Experience managing and developing individual contributors, including coaching, performance management, and hiring.
  • Experience leading operational workstreams and improving team processes for quality, efficiency, and scalability.
  • Demonstrated ability to support team leadership beyond direct management responsibilities, including contributing to team priorities, operating norms, and continuous improvement efforts.
  • Strong expertise in data management, data operations, and data quality practices, ideally in environments supporting both internal and external stakeholders.
  • Proficiency with SQL and working knowledge of Python for data analysis, troubleshooting, or workflow improvement.
  • Experience directly supporting external partners, clients, or stakeholders and delivering high-quality service in a consultative or operational capacity.
  • Experience working with client data, vendor data, or other third-party datasets, including determining appropriate deliverables for different use cases.
  • Ability to manage multiple priorities, navigate ambiguity, and make sound decisions within established strategic direction.
  • Experience in identifying risks to data quality or delivery and taking proactive steps to address them.
  • Strong cross-functional collaboration skills, with the ability to work effectively with other technical and/or non-technical teams
  • Strong written and verbal communication skills, including the ability to explain technical issues, status, and tradeoffs clearly to varied audiences.
  • A hands-on, solutions-oriented approach and a commitment to building efficient, thoughtful, partner-centered ways of working.
  • Commitment to inclusive leadership, team development, and creating an environment where staff can thrive.

Benefits

  • Health, vision, and dental insurance with 100% of premiums covered for you and qualifying family members;
  • Retirement benefits with a 5% employer match;
  • A flexible unlimited PTO plan;
  • Generous paid parental leave;
  • Pre-tax commuter benefits;
  • A company laptop;
  • A flexible remote work environment;
  • A home office setup stipend for all new employees;
  • Monthly reimbursement for remote work expenses;
  • A yearly professional development fund;
  • Mental health and wellness benefits through Calm and Better Help;
  • Yearly in-person staff retreats; and
  • A welcoming culture that celebrates diversity, equity, inclusion, and belonging.

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