Data Operations Manager
Boise Office, United States
Clearwater Analytics
Clearwater Analytics is the leading provider of investment accounting software for reporting and reconciliation services for institutional investors.Job Summary:
The Data Operations Manager of (the team) serves as a subject matter expert in various areas, working collaboratively with teams throughout the company. Their primary role is to ensure the excellence of data ingestion processes and to address deficiencies by implementing effective solutions, all while maintaining a strong dedication to client and employee success.
Responsibilities:
Mentor and develop team members by working with them to constantly facilitate growth opportunities.
Coordinate and manage team engagement.
Provide oversight, guidance, and being a leader, regarding initiatives to improve processes/efficiency across the team, division, and department.
Ensure team processes and best practices are understood, followed, and improved upon.
Solve issues across most parts of the team’s domain with limited guidance.
Help to continuously maintain and improve quality data ingestion and delivery.
Keep up to date on evolving standards, norm models, file ingestion and delivery methods, vendors, and technology.
Organize workflow of team and involved in resource allocation to deliver on key goals outlined by Division Lead/Department goals.
Manage administrative responsibilities including PTO, organizing on-call work, signing off on SOP documentation, etc.
Exemplify Clearwater culture while emphasizing teamwork, collaboration, continuous improvement, and individual empowerment.
Engages with and completes all performance management tasks.
The ability to give effective feedback and handle difficult conversations.
Clearly and effectively communicate the technical aspects of Clearwater systems and our best practices with non-technical internal and external stakeholders.
On call escalation responsibility.
Required Skills:
Ability to manage people, projects, and tasks effectively.
Passion, Perseverance, and Accountability with an innate desire to drive client success.
Ability to read/understand at least one programming language (i.e., Python, Java, Groovy, etc.).
Strong computer skills, including proficiency in Microsoft Office.
Excellent attention to detail and strong documentation skills.
Outstanding verbal and written communication skills.
Strong organizational and interpersonal skills.
Exceptional problem-solving abilities.
Education and Experience:
Bachelor's degree in accounting, Engineering, Mathematics, or related area of study.
7+ years of relevant experience.
2 years of experience in leading a cross-functional and collaborative team.
3+ years of work experience in investment management front office or operations or within an international data provider.
Experience with SQL or other relational databases.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: DataOps Engineering Java Mathematics Python RDBMS SQL
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