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Open 6 months, first seen by us 190 days agoLead and develop a team of 5–10 against performance KPIs
Oversee reconciliation across 2–3 markets for accuracy and completeness
Resolve complex reference data discrepancies across multiple sources
Partner with custodians and asset managers to fix data issues
Improve processes, including automation and auto-recon enhancements
Lead and develop a team of 5–10, driving performance against KPIs
Oversee reconciliation across 2–3 markets and ensure data accuracy and completeness
Own and resolve complex reference data discrepancies across multiple data sources
Partner with custodians, asset managers, and internal teams to resolve data issues
Identify and implement process improvements, including automation and auto-recon enhancements
Strong reference data experience required
Proven ability to solve complex data issues and improve processes at scale
Data-driven mindset with strong communication and leadership skills
Open 6 monthsWe first saw this posting 190 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 190
Up longer than most. Similar jobs usually come down between day 8 and day 57.
Well past Clearwateranalytics’s usual: its jobs come down by about day 46.
From 9,462 similar postings that came down, and 41 of Clearwateranalytics’s. Coming down is not always a hire.
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job Summary
Clearwater Analytics is hiring a Data & Reconciliation Team Lead to drive data accuracy, operational performance, and team execution across our platform. This role leads a team responsible for delivering timely, high-quality investment data, with a strong focus on reference data integrity (security master, pricing, market data, corporate actions).
Key Responsibilities
Lead and develop a team of 5–10, driving performance against KPIs
Oversee reconciliation across 2–3 markets and ensure data accuracy and completeness
Own and resolve complex reference data discrepancies across multiple data sources
Monitor team output (including client communications) to ensure quality and timeliness
Partner with custodians, asset managers, and internal teams to resolve data issues
Identify and implement process improvements, including automation and auto-recon enhancements
Lead 1–2 strategic initiatives annually aligned with business priorities
Qualifications
7+ years in investment operations, reconciliation, or data management
5+ years leading operational teams
Strong reference data experience required
Proven ability to solve complex data issues and improve processes at scale
Data-driven mindset with strong communication and leadership skills
What You’ll Bring
Hands-on leadership with a focus on team development and accountability
Ownership mindset around data quality and client outcomes
Ability to operate both strategically and in the details
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