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EXL · 1 day ago

Marketing Analyst & Strategist

New York, NY

Full-time

Hybrid

Senior Level, Lead/Staff

10+ years exp

EXL is seeking a senior consulting leader to build and scale marketing analytics and technology solutions for enterprise clients. This role involves advising executive stakeholders on marketing transformation initiatives and leading complex engagements that leverage customer data and analytics for personalized marketing strategies.

AnalyticsBankingOutsourcing

Hiring Manager

Payal P. Patel

Responsibilities

Act as a strategic advisor to executive stakeholders, guiding marketing analytics and MarTech initiatives that enable personalized customer growth across the lifecycle

Design and implement orchestrated, cross-channel customer journeys that deliver individualized experiences across owned and paid channels using behavioral, transactional, and real-time data

Lead the creation of lifecycle programs that personalize onboarding, deepen engagement, reduce churn, and drive reactivation and loyalty

Translate customer data and advanced analytics into scalable personalization strategies, including audience definitions, trigger logic, decision rules, and dynamic content execution using platforms such as Braze and Adobe Experience Cloud

Establish performance measurement and experimentation standards including A/B testing, attribution, and incrementality to continuously optimize personalized journeys and quantify business impact

Partner with data science and engineering teams to embed predictive models, identity resolution, and real-time personalization into marketing execution

Ensure consistent delivery excellence through strong governance, quality controls, and scalable operating models, while mentoring teams and supporting business development

Qualification

Marketing analyticsMarTechCross-channel marketingAdobe Experience CloudSalesforce Marketing CloudCustomer data ecosystemsA/B testingData privacy regulationsExecutive communicationConsulting skillsTeam development

Required

10+ years of experience in marketing analytics, MarTech, CRM, or lifecycle marketing, with substantial consulting and client-facing experience

Demonstrated success leading marketing analytics and technology initiatives at scale, partnering with senior client stakeholders to deliver measurable business impact

Deep expertise in cross-channel lifecycle marketing and personalization, spanning onboarding, engagement, retention, reactivation, and loyalty programs

Hands-on experience implementing and optimizing enterprise marketing platforms, including Braze, Adobe Experience Cloud (AEP, Journey Optimizer, Campaign), Salesforce Marketing Cloud, or similar automation and journey orchestration tools

Strong understanding of customer data ecosystems, including data capture, event design, identity resolution, consent management, and multi-channel activation

Proven ability to design and operationalize data feedback loops, connecting customer interactions, analytics, and experimentation to continuous optimization

Experience embedding advanced analytics and predictive models into marketing execution, including segmentation frameworks, trigger logic, and real-time personalization

Solid command of measurement and experimentation, including A/B testing, attribution methodologies, incrementality analysis, and ROI measurement

Working knowledge of data privacy and regulatory requirements (GDPR, CCPA, CAN-SPAM) and their impact on personalization and activation

Technical fluency to collaborate effectively with engineering teams, including familiarity with HTML, APIs, dynamic content, and marketing platform configuration (hands-on coding a plus)

Strong executive communication and consulting skills, with the ability to lead complex, multi-workstream engagements

Bachelor's degree required; MBA or advanced degree preferred

Preferred

Hands-on familiarity with REST APIs, Connected Content, Liquid scripting, or similar platform integration tools to support advanced marketing automation and personalization

Exposure to predictive analytics, recommendation engines, or AI-driven marketing applications that enhance customer engagement and lifecycle outcomes

Experience operating in regulated, data-sensitive, or complex enterprise environments, with an understanding of compliance, privacy, and security considerations