Manager - Digital Services
Citrin Cooperman · citrincooperman.io
United StatesRemoteSenior5+ yrs
The job in short
Data analytics and BI consulting delivering dashboards, data models and data governance for clients.
SQLSnowflakeAzurePower BIExcel
Details
- Found
- 22 d ago · posted 2026-10-01
- Role
- Consultant
- Source
- The company’s own careers site
Full description
Job Details: Position Type: Full Time / Experienced Level, Salary Range: $90000.00 - $200000.00Salary, Job Category: Advisory - Digital Services, We are seeking a purpose-driven and technically skilled Manager to join our Data & AI Consulting team. This role is ideal for a data professional who thrives at the intersection of analytics, engineering, and strategy—and who is passionate about using data to solve real-world problems and drive meaningful outcomes for clients.
Key Responsibilities:
Deliver client-facing projects focused on data analytics, visualization, engineering, and governance.
Help organizations build strong data foundations to support responsible AI adoption and long-term value creation.
Translate complex business challenges into actionable insights through dashboards, reports, and data models.
Collaborate with cross-functional teams to design and implement scalable data solutions using modern BI and cloud tools.
Support technical pre-sales efforts, including discovery sessions, solution design, and proposal development.
Contribute to internal knowledge sharing, mentoring, and capability development within the Data & AI practice.
Apply data as a tool for impact—connecting analytics to broader business and social outcomes.
Qualifications:
3–5 years of experience in data analytics, business intelligence, or data engineering, preferably in a consulting environment.
Proficiency in Power BI, SQL, and Excel; familiarity with cloud data platforms (Azure/Fabric, Snowflake) and data governance frameworks.
Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.
Demonstrated ability to work across industries and adapt to diverse client needs.
Preferred Experience:
Experience supporting AI readiness initiatives or data governance programs.
Exposure to technical pre-sales, client delivery, or cross-sector consulting.
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