Senior Engagement Manager- Management Consulting & Analytics Strategy

Posted One Month Ago
Hiring Remotely in United States
Remote or Hybrid
160K-180K Annually
Senior level
Information Technology • Database • Consulting
The Role
Leads data and analytics transformation strategy for major client programs, defining roadmaps, use cases, architecture direction, and operating models. Advises senior stakeholders, facilitates strategy workshops, aligns programs to KPIs and value frameworks, supports governance and risk management, contributes to proposals and pre-sales, and mentors consulting and analytics teams.
Summary Generated by Built In

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. 

This role represents emphasizing ownership of solution strategy, client advisory conversations, and value realization frameworks, while remaining closely connected to delivery. 

Responsibilities

 

Core Responsibilities  

Strategy & Solution Leadership 

  • 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 

Commercial & Pre-Sales Support 

  • 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 
Qualifications
  • 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. 

.

Skills Required

  • 10-12+ years of experience in analytics consulting, data strategy, or digital transformation
  • Strong understanding of data platforms, analytics, business intelligence, cloud, and foundational AI/ML concepts
  • Experience bridging business objectives and technical solutions
  • Ability to operate in structured ambiguity with guidance from senior leaders
  • Strong communication skills and ability to influence senior non-board stakeholders
  • Bachelor's degree in Business, Data Science, Engineering, Economics, or a similar field
  • Master's degree preferred
  • Education from a top-tier institution

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

EXL Insights

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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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