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- Full-time
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- Bachelor's degree
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Assistant Vice President

EXL Service -
India

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Job details

Full-time

Qualifications

Web analytics
Salesforce
Marketing mix modeling
Bachelor's degree
Attribution modeling
Mentoring
Adobe Marketing
Adobe Campaign
Solution architecture
AI
Leadership
Communication skills
Adobe Analytics
Pre-sales
Analytics

Full job description

Job Description: The individual will act as a trusted partner to business and technology stakeholders, translating business objectives into scalable measurement, attribution, and optimization solutions using various analytics and CDP ecosystem.

Responsibilities: Key Responsibilities

1. Measurement Practice & Delivery Ownership

Own and lead the Measurement & Attribution Pod (analytics engineers, data architects, and consultants).
Accountable for end-to-end delivery of analytics, attribution, and insights initiatives.
Define operating model, governance, and best practices for measurement solutions.
Ensure data quality, accuracy, consistency, and performance across platforms.

2. Consulting & Advisory Leadership

Act as Measurement & Insights Advisor to clients and internal stakeholders.
Lead discovery workshops for KPI definition, measurement strategy, and attribution models.
Provide strategic guidance on:
- Enterprise measurement frameworks
- Omnichannel attribution and incrementality
- Customer journey analytics (B2C & B2B)
- Product analytics and experimentation
- Marketing mix modeling and ROI measurement

3. Stakeholder & Client Engagement

Partner with Marketing, Digital, Product, Data, and IT stakeholders.
Serve as primary point of accountability for analytics and attribution initiatives.
Influence decision-making at senior and executive levels.
Build long-term advisory relationships with customers.

4. Growth & Measurement Footprint Expansion

Identify opportunities to expand the measurement and attribution footprint across business units and channels.
Drive cross-sell and up-sell of Analytics and CDP products.
Build reusable frameworks, data models, and accelerators for insights delivery.
Support pre-sales, proposals, and RFPs with analytics and attribution strategies.

5. Architecture & Technical Leadership

Define and govern solution architecture across Analytics solutions such as Adobe Analytics, Customer Journey Analytics(AEP), Content Analytics, Mix Modeler, Product Analytics, Real-Time CDP (B2C & B2B) or other Analytics solutions
Ensure best practices in:
- Data ingestion and identity resolution
- Event modeling and XDM schemas
- Attribution and journey stitching
- KPI frameworks and reporting design

6. Integration & Ecosystem Enablement

Integrate analytics and CDP platforms with:
- Marketing platforms(such as AJO, Adobe Campaign, SFMC, Braze, Marketo,etc).
- Personalization platforms
- Content & Commerce platforms
- CRM (Salesforce, MS Dynamics)
- Data warehouses and BI tools
Enable personalization, experimentation, and closed-loop measurement.

Qualifications: Professional Experience

Bachelor's Degree, 8–12+ years of experience in digital web analytics, data platforms, and attribution solutions.
Strong hands-on or solution leadership experience with Adobe Experience Cloud, analytics and CDP products.
Proven experience leading analytics delivery teams or pods.
Experience in client-facing consulting and solution architecture roles.
Technical & Functional Skills
Deep expertise in:
- Analytics and Meassurement Platforms such as Adobe Analytics, Google Analytics, Tealium, CJA(AEP), etc.
- CDP Platforms such as AEP RTCDP, Amperity, Hightouch, Salesforce Data cloud, etc.
Strong understanding of:
- Attribution models and incrementality testing
- Marketing mix modeling (Mix Modeler)
- Product analytics and experimentation
- Data pipelines, event streaming, and identity stitching and resolution
- Privacy, consent, and data governance
Leadership & Consulting Skills
Strong stakeholder management and communication skills.
Ability to engage and influence senior and executive stakeholders.
Strategic mindset with strong execution rigor.
Ability to link analytics insights to business outcomes and ROI.
Experience mentoring analytics engineers and consultants.
Preferred Qualifications
Certified Experts
Experience in large-scale digital transformation programs.
Exposure to AI/ML-driven analytics and Mix Modeler.
Prior experience in pre-sales or solution consulting roles.
Domain experience in retail, Sports and Media, and/or B2B industries (preferred).

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