Data Science, Analytics, and Integration Director

About

West Monroe is building an AI-native firm. We are looking for a Data Science, Analytics, and Integration Director to join the CIO’s leadership team and shape the next phase of our enterprise data, analytics, and integration capabilities and translate them into measurable business value.

The opportunity

This executive will lead the strategy, architecture, and delivery of West Monroe’s internal Data Science, Analytics & Integrations function. Reporting directly to the CIO, the role spans enterprise data platforms, business intelligence, data governance, applied ML and GenAI enablement, and mission-critical integrations across the firm’s core systems.
The mandate is straightforward: create trusted enterprise intelligence, accelerate time-to-insight, modernize how data moves across the business, and build an operating model that gives leaders confidence in the metrics they use to run the firm.

What you will own

• Enterprise data and analytics strategy, including the multi-year roadmap, capability maturity, and investment priorities needed to support an AI-native operating model.
• Modern data and ML platforms, including Databricks, Azure analytics services, Fabric capacity planning, semantic models, dashboards, and governed self-service analytics.
• Data governance, stewardship, quality, lineage, and master data practices that improve trust, accountability, and decision quality.
• Enterprise integrations and API patterns across MuleSoft and adjacent platforms, with a focus on reliability, reuse, observability, and support for critical workflows such as Lead-to-Cash and Hire-to-Retire.
• A high‑performing multidisciplinary team of engineers, analysts, and integration specialists across full‑time and nearshore resources.

How success will be measured

• Establish clear ownership across systems of record, integration layers, and analytics products so stakeholders know where accountability sits.
• Improve data quality and master data resolution through visible issue management, named owners, service levels, and root‑cause prevention.
• Reduce cycle time from data intake to production insight by standardizing reusable data products, semantic layers, pipelines, and integration patterns.
• Strengthen executive trust in firmwide dashboards and metrics, reducing dependence on offline spreadsheets and manual reconciliation.
• Scale applied ML and GenAI in analytics workflows with the right governance, monitoring, and responsible‑use controls.

Key responsibilities

• Set direction for enterprise data, analytics, and integrations in partnership with technology and business leaders.
• Define pragmatic architecture choices across batch, micro‑batch, event‑driven, and near‑real‑time patterns based on business need, cost, and complexity.
• Operate analytics and integrations as products, with disciplined intake, prioritization, delivery, release management, adoption tracking, and value realization.
• Standardize KPI definitions and certify executive metrics across major business domains.
• Guide platform cost, performance, and vendor decisions across the analytics and integration stack.
• Recruit, coach, and develop talent while reinforcing strong engineering standards, documentation, and operational excellence.

Qualifications

• 10+ years of leadership experience in data, analytics, and/or enterprise integrations, including responsibility for cross‑functional teams and enterprise‑scale delivery.
• Demonstrated success building modern data and analytics capabilities in a cloud environment and leading integration strategies that support core business processes.
• Strong executive presence and communication skills, with the ability to connect enterprise priorities to clear decisions, accountability, and measurable outcomes.
• Sound architectural judgment across trade‑offs such as real‑time vs. batch, governance vs. agility, and performance vs. cost.
• Experience in professional services, consulting, or another fast‑paced, matrixed environment is strongly preferred.
• Familiarity with Databricks, Azure analytics/Fabric, Power BI semantic models, data cataloging, and MuleSoft or comparable iPaaS platforms is highly desirable.

Why this role?

This is a high‑impact leadership role at the center of West Monroe’s AI‑native transformation. The leader in this position will influence how data powers decisions, how enterprise workflows operate, and how the firm scales modern analytics and AI capabilities across the business.

Compensation & Benefits

• Salary range (National): $200,000 — $250,000 USD
• Employees (and their families) are covered by medical, dental, vision, and basic life insurance.
• Employees are able to enroll in the company’s 401(k) plan, purchase shares from the employee stock ownership program, and be eligible to receive annual bonuses.
• Unlimited flexible time off and ten paid holidays throughout the calendar year.
• Eligibility for ten weeks of paid parental leave upon hire.