Manager – Data Migration (M&A) and Data Quality, Sales Operations
Overview
The Manager – Data Migration (Mergers & Acquisitions) and Data Quality in
Cvent’s Sales Operations will lead end-to-end CRM data migration for
acquired companies into Cvent’s CRM and own ongoing CRM data quality
operations. They will partner cross-functionally to define scope, ensure
data readiness, execute high-quality matching/deduplication at scale (using
both exact and fuzzy logic), and integrate processes, teams, and governance
to support successful go-live and post-merger operations. In parallel, they
will drive daily and monthly deduplication programs for Accounts and
Contacts to minimize sales friction, safeguard data integrity, and scale
automation-first processes that require minimal manual effort.
Key Responsibilities
M&A data migration and integration
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Define migration criteria and scope; align stakeholders across Sales,
Client Services, Marketing, Finance, and CRM Systems to an approved plan
and change-control process.
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Establish and enforce data readiness gates; partner with Marketing to
close mandatory data gaps before migration cutover.
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Architect and govern large-scale matching/deduplication for Accounts,
Contacts, and Leads (including fuzzy matching and multi-match
adjudication), combining tools with structured manual review playbooks.
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Direct solutions for cross-CRM data hygiene issues (e.g., contacts in
different accounts, legacy duplicates) with clear resolution logic and
documentation.
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Lead dry runs and UATs; own go/no-go criteria and defect triage for
cutover.
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Stand up hypercare for UAT and post go-live; drive fast root-cause
analysis and sustainable fixes.
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Integrate go-to-market processes from the acquired company (lead flow,
territory management, account assignment) and coordinate Sales team
process integration and enablement.
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Lead monthly customer account mapping for leadership consumption and
pipeline/account visibility.
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Create and maintain M&A data migration playbooks, best practices,
training, and lessons-learned repositories to scale repeatable
excellence.
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Lead Sales Ops representation in cross-departmental forums and steering
committees related to M&A/data migration/integration; maintain decision
logs and risks/mitigations.
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Ensure timelines/deadlines are met for all M&A milestones; proactively
forecast risks and implement contingencies.
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Demonstrate strong problem-solving to resolve ambiguity at scale and
drive durable outcomes.
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Build, lead, and coach a high-performing team executing the above
processes with an empathetic, compassionate leadership approach.
CRM data deduplication operations
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Manage daily data deduplication operations for Accounts and Contacts in
CRM, ensuring duplicates introduced by any process/user are quickly
identified via exact and fuzzy logic and merged promptly to avoid impact
on Sales Reps. Define and meet SLAs for detection-to-merge cycle times.
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Run a periodic, full-population historical deduplication process for
Accounts and Contacts that identifies existing duplicates system-wide
and merges them with appropriate adjudication, attribution, audit
logging, and compliance to policy/obligations.
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Continuously scope and refine both daily and historical deduplication
processes to be more robust and automation-first, minimizing manual
effort through rules, workflows, and scalable playbooks.
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Define and report data quality KPIs (e.g., duplicate creation rate,
merge SLA adherence, precision/recall tradeoffs, impact on
assignment/forecasting) and drive iterative improvements through
root-cause analysis and prevention.
Eligibility Criteria
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Preferably 9-12 years in Sales Operations, including 3–4 years leading
M&A integrations and data migrations and 4+ years managing teams; proven
cross‑functional program leadership across complex, multi‑system
integrations.
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Proficiency with CRM platforms (e.g., Salesforce) and experience
leveraging AI or advanced techniques for entity resolution/data quality
(preferred).
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Significant experience owning CRM data integrity, including operational
management of Account/Contact deduplication using exact and fuzzy
matching, multi-match adjudication, survivorship rules, and exception
handling.
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Hands‑on experience with data hygiene and deduplication tools (e.g.,
DemandTools, Cloudingo, Dedupely).
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Demonstrated ability to design automation-first data quality processes,
reduce manual effort, and establish measurable SLAs/KPIs (e.g.,
duplicate rate reduction, detection-to-merge cycle times).
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Strong analytical and problem-solving skills with the ability to balance
precision/recall tradeoffs.
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Excellent communication, negotiation, stakeholder influence; proven
ability to align Sales, Marketing, Client Services, Finance, and CRM
Systems on policies and changes.
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Ability to manage multiple priorities in a fast-paced environment;
strong business acumen and Sales/Marketing understanding.
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Leadership, coaching, and team-building capabilities; builder mindset
with robust documentation and playbook development experience.
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Bachelor’s degree with strong academic record; excellent English
communication (written and spoken).