About this role
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.
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. • Manage prioritization, resourcing, risks, and dependencies across analytics programs.
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
• Translate business strategies into analytics and data platform roadmaps.
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. • Drive adoption and expansion of measurement capabilities across accounts.
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. • Sponsor innovation using advanced attribution, AI/ML-driven insights, and optimization tools.
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 • Data governance, privacy, and compliance
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.
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).