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Manager / Sr. Manager - Data Analytics

5 days ago 2026/08/24
Other Business Support Services
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Job description

Description


Company Profile:
Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.
Team Profile: 
Alvarez & Marsal’s Disputes and Investigations (DI) works with clients to advise on risk management, leakage prevention, anti-bribery and corruption consulting, fraud investigations, anti-fraud programs and controls, regulatory compliance, litigation support and bankruptcy matters. DI team provides expertise to manage and minimize securities litigation and regulatory compliance risks.
Data Analytics team within DI brings technological innovation to support technology led programs using cutting edge tools and techniques.
Position Overview: 
We are seeking an experienced and highly motivated Manager/Senior Manager to join our Data Analytics team within the Disputes and Investigations practice. In this role, you will take ownership of end-to-end client engagements, leading and managing complex data and AI led initiatives that support clients across a range of matters.
The role requires strong experience in data engineering concepts, data platforms, system and data architecture, cloud environments and enterprise system integration, along with exposure to AI and LLM based solutions. It also requires strong capabilities in data analytics and working with large datasets.
You will be responsible for ensuring the highest quality of deliverables, driving technical excellence through architecture guidance, and overseeing the development of data driven solutions tailored to client needs. You will also lead and mentor teams and contribute to practice development.
Job Roles & Responsibilities: 
Engagement Leadership and Project Management
  • Lead end to end delivery of data and AI led engagements, managing client relationships, timelines, budgets and scope
  • Ensure timely and high-quality execution of deliverables from data sourcing to insights and reporting
  • Act as a key point of contact for clients, providing strategic inputs and solution direction
Data Engineering and Architecture Oversight
  • Define and review data architecture including data lakes, warehouses and Lakehouse models
  • Provide guidance on data pipeline design, data models and data flows across systems
  • Provide oversight on integration of enterprise systems including ERP platforms with data and analytics environments
  • Review approaches for data extraction, ingestion and transformation across multiple systems
  • Ensure best practices in data governance, data quality, security and scalability
  • Evaluate and recommend appropriate data platforms and cloud solutions
AI and Advanced Analytics
  • Design of AI and machine learning solutions including LLM based applications
  • Define solution architecture for multiple AI use cases across industries
  • Evaluate tools and frameworks for AI deployment, scalability and cost efficiency
Analytics and Visualization
  • Develop and review interactive dashboards and reporting solutions using Power BI, ensuring strong business relevance and usability
  • Build analytical solutions and perform data analysis using Python to solve complex business problems and derive insights
  • Perform data extraction, transformation and analysis using SQL on large and complex datasets, ensuring accuracy and scalability
Team Leadership and Mentoring
  • Mentor and guide analysts and consultants across data, analytics and AI domains
  • Provide direction on solution design and review deliverables to ensure quality
Quality Assurance and Risk Management
  • Ensure delivery of high quality and accurate work products through structured review processes
  • Identify and mitigate risks related to data quality, architecture and project execution
  • Establish best practices and frameworks for consistent delivery
Practice Development and Business Growth
  • Contribute to development of data and AI capabilities within the practice
  • Support proposals, client pitches and solution design discussions
  • Identify opportunities for expanding services and building reusable solutions
  • Identify and collaborate with external vendors and partners to expand solution offerings and capabilities
Client and Stakeholder Management
  • Build strong client relationships and act as a trusted advisor on data and AI initiatives
  • Collaborate with internal teams and subject matter experts to deliver integrated solutions
  • Ensure effective communication across stakeholders throughout the engagement lifecycle
Qualifications & Experience:
  • 6 to 10 plus years of experience in data analytics, data engineering, architecture or consulting roles
  • Strong experience in data engineering concepts, data pipelines, data lakes and enterprise data platforms
  • Experience working with SAP data environments and system integration
  • Exposure to cloud platforms such as Azure, AWS or GCP
  • Understanding of AI, machine learning and LLM based solutions
  • Proven experience in leading complex data driven engagements from design to delivery
  • Experience in consulting environments, preferably with Big4 or similar firms
Technical Skills
  • Strong understanding of data engineering, ETL and data architecture concepts
  • Strong working knowledge of SQL, Power BI and Python
  • Advanced proficiency in Excel and PowerPoint for analysis, storytelling and client presentations
  • Familiarity with AI, ML and LLM frameworks and analytics techniques
Other Skills
  • Ability to guide and review technical solutions without being hands on in development
  • Strong problem solving and analytical thinking capabilities
  • Excellent communication and stakeholder management skills
  • Experience in mentoring teams and managing deliverables
  • Ability to work in a fast paced, client driven environment
Your journey at A&M:
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.
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