Senior Manager of Data Operations at Zema Global developing scalable data strategies and leading operational efficiency. Collaborating with teams to enhance performance and client satisfaction through effective data management.
Responsibilities
Develop, Enhance, and Implement Data Operations Strategy
Define and execute the strategy for data operations, aligning processes and frameworks with business goals and growth initiatives.
Establish standardized workflows and processes to maximize efficiency and quality across global teams.
Drive innovation to enhance operational efficiency and scalability, while establishing long-term roadmaps for additional automation and technology adoption to ensure operational excellence.
Translate strategic priorities into actionable operational plans for the group.
Build and maintain strong relationships with cross-functional teams, including data, product, technology, and business units, to align goals.
Provide regular updates and performance metrics to senior leadership, ensuring transparency and alignment with company objectives.
Lead change management initiatives, ensuring smooth transitions for client impacting data changes.
Collaborate with cross-functional teams to align data operations with organizational objectives and improve data workflows.
Identify and mitigate risks related to data quality, operational scalability, and process governance.
Make critical decisions within control limits and escalate significant risks to senior leadership as needed.
Proactively anticipate risks that could impact data integrity or business operations and implement preventive measures.
Clearly convey the group’s objectives, priorities, and responsibilities to promote understanding of their impact on company goals.
Foster a growth-oriented culture by mentoring junior managers and team leads, preparing them for expanded roles.
Build and Monitor KPIs, SLAs, and operational metrics to enable a culture of performance on the team and drive client satisfaction, driving corrective actions as needed.
Collaborate with clients and stakeholders to understand their evolving data requirements and ensure operational services meet expectations.
Develop proactive solutions to meet future client needs, staying ahead of market trends and emerging demands.
Establish feedback loops with key clients to track satisfaction levels and identify potential service improvements.
Requirements
Bachelor’s degree in a STEM field preferred ; relevant experience may substitute for education
10+ years working in data operations or a closely related data-heavy environment
Minimum 5+ years managing people , ideally across global teams and multiple locations
Hands-on technical ability: SQL, databases and the ability to guide analysts through troubleshooting
Experience working with energy, finance, or commodities data
Proven track record building or scaling data operational functions (teams, processes, frameworks)
Strong background in automation, process improvement and delivering measurable efficiency gains
Experience defining, tracking and improving operational metrics, KPIs, and MI reporting
Comfortable driving both strategic initiatives and day-to-day operational resolutions
Confident working across cross-functional groups and able to challenge assumptions or push for better outcomes
Familiarity with Jira, Confluence, and a data visualization tool (Power BI, Tableau, Looker, etc.)
Able to balance independence with governance boundaries and knows when to escalate
Thrives in a dynamic environment with shifting priorities.
Benefits
Significant opportunity to make a measurable impact on product strategy, revenue growth and customer success
Join a company culture that values innovation, collaboration and customer-centric thinking
We appreciate all applications, but only short-listed candidates will be contacted for further consideration.
We’re looking forward to seeing how you can make an impact with us!
Job title
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