Senior Manager – Engagement Lead, CPG/Retail

Tiger Analytics

. Take full accountability for client engagements from inception to completion .

Posted 10/9/2026full-timeParsippany • New Jersey • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing client engagements and leading cross-functional teams to deliver data, analytics, and AI solutions. Proven ability to engage with senior stakeholders and drive account growth within the Retail/CPG domain.

Highest-signal resume keywords

Data Analytics ExpertiseClient Engagement ManagementCross-Functional Team LeadershipStakeholder Relationship ManagementBusiness Problem Translation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalyticsAI SolutionsBusiness Problem TranslationAccount Growth StrategiesCloud-Native Data ModernizationEnterprise-Wide AI AdoptionProposal DevelopmentAnalytic Output IntegrationTechnical Team OversightBusiness Needs Identification

Soft Skills

Client Experience DeliveryExpectation ManagementCollaborationCommunicationProblem Solving

Certifications & Qualifications

Graduate in Business AnalyticsMBA

Industry Keywords

RetailCPGData EngineeringAnalytics InitiativesStakeholder Engagement

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Take full accountability for client engagements from inception to completion
Ensure successful execution of data, analytics, and AI initiatives
Translate complex business problems into viable, scalable analytics and AI solutions
Manage, cultivate, and expand relationships with senior client stakeholders
Align stakeholders, manage expectations, and deliver exceptional client experiences
Lead and support cross-functional teams of data scientists, data engineers, and business analysts
Identify new opportunities, shape proposals, and expand the client footprint
Drive sustained account growth
Lead strategic engagements involving enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes
Collaborate with AI, data, engineering, and consulting talent across geographies

Requirements

What you’ll need

10–16 years of professional work experience, with at least 7 years in data analytics
Ability to engage with executive/VP-level stakeholders and translate business problems into a high-level analytics solution approach
Experience working within the Retail/CPG domain
Strong ability to oversee, support, and unblock cross-functional technical teams
Demonstrated ability to identify business needs, pitch solutions, and drive account expansion
Ability to work with IT and Data Engineering teams to embed analytic outputs in business processes
Graduate in Business Analytics or MBA, or equivalent work experience

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Retirement accounts
Long-term disability insurance
Short-term disability insurance
Life insurance
HSA/FSA accounts (USA)
Discretionary time off
Continuous learning and AI upskilling
Hands-on exposure to emerging technologies
Opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms