Senior Engagement Manager- Management Consulting & Analytics Strategy

EXL; New Jersey; Hybrid; USD 160,000 - 180,000; Full time

Job summary

EXL is seeking a Senior Engagement Manager in Management Consulting & Analytics Strategy to lead data and analytics transformation for complex programs. This hybrid role supports NY/NJ-based clients and combines strategy development, advisory problem-solving, and execution oversight to deliver measurable business outcomes.

You will define data and analytics roadmaps, translate priorities into use cases, and guide governance, value realization, and client collaboration.

Qualifications

• 10–12+ years of analytics consulting, data strategy, or digital transformation.
• Strong understanding of data platforms, analytics, BI, cloud, and foundational AI/ML concepts.
• Experience bridging business objectives and technical solutions.
• Comfortable operating in structured ambiguity with guidance from senior leaders.
• Strong communication skills with the ability to influence senior stakeholders.
• Bachelor’s degree required; master's degree preferred; top-tier institutions a plus.

Responsibilities

• Define data, analytics, and AI transformation roadmaps for client programs or accounts.
• Translate business priorities into analytics use cases, architecture direction, and operating model choices.
• Lead discovery, assessment, and strategy phases of engagements.

Skills

Analytics consulting

Data strategy

Digital transformation

Data platforms

BI

Cloud

AI/ML concepts

Stakeholder influence

Communication skills

Bridging business & tech

Education

Bachelor's degree

Master's degree

Job description

Senior Engagement Manager- Management Consulting & Analytics Strategy

Hybrid; NY/NJ

$160k to $180k plus bonus

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Role Summary

Data & Analytics Strategy Architect is an engagement-level strategy lead responsible for defining data and analytics transformation approaches for major programs or accounts. The role combines strategic design, advisory problem-solving, and execution oversight, ensuring solutions are aligned to business outcomes and scalable operating models.

Core Responsibilities

• Define data, analytics, and AI transformation roadmaps for client programs or accounts
• Translate business priorities into analytics use cases, architecture direction, and operating model choices
• Lead discovery, assessment, and strategy phases of engagements

Client Advisory & Stakeholder Management

• Act as a trusted advisor to senior client stakeholders (VP / AVP / Director level)
• Facilitate strategy workshops, roadmap discussions, and value-definition sessions
• Support client decision-making by articulating trade-offs, risks, and benefits

Governance & Value Realization

• Ensure programs are aligned to defined business outcomes, KPIs, and benefits cases
• Support program governance, escalation, and dependency management
• Identify delivery risks early and guide corrective actions with delivery leads
• Support solutioning, estimates, and proposal development for new and expanding engagements
• Partner with account teams to identify adjacent opportunities and follow-on work
• Contribute to client presentations and pursuit strategies

Team & Capability Development

• Guide and mentor junior architects, consultants, and analysts
• Promote best practices in strategy articulation, documentation, and executive communication
• Contribute to reusable assets, frameworks, and accelerators

Candidate Profile

• 10–12+ years of experience in analytics consulting, data strategy, or digital transformation
• Strong understanding of data platforms, analytics, BI, cloud, and foundational AI/ML concepts
• Experience in bridging business objectives and technical solutions
• Comfortable operating in structured ambiguity with guidance from senior leaders
• Strong communication skills with the ability to influence senior (non-board) stakeholders
• Bachelor’s degree required; master's degree preferred (Business, Data Science, Engineering, Economics, or similar); top-tier institutions a plus.