Posted 09 August, 2026
CXM- Multi-Touch Attribution (MTA)
NR Consulting
PAN India
Full Time
Reference: 365_463738_26-22767
Title: CXM- Multi-Touch Attribution (MTA)
Location: PAN India
Exp: 12+ Years
Job Description:
• Define and Lead Strategy: Develop enterprise marketing measurement strategies, roadmaps, and lead strategic engagements across Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality, and unified measurement.
• Act as a Trusted Advisor: Partner with CMOs and senior leaders to drive investment decisions, performance forecasting, scenario planning, and marketing budget optimization.
• Translate Insights to Outcomes: Convert complex analytical outputs into actionable commercial recommendations for channel mix optimization, customer acquisition, retention, and profitability.
• Own Solution Delivery: Lead end-to-end delivery from problem definition to value realization, managing cross-functional teams spanning consulting, data science, and engineering.
• Drive Practice Development: Build actionable measurement frameworks, reusable accelerators, and intellectual property. Support business development through solutioning and thought leadership in marketing science and AI-enabled decision intelligence. Skills Required
• Experience: 12+ years in Data Science-led Marketing Measurement, Analytics, or Consulting, with 5+ years managing large-scale global client engagements and building high-performing, distributed teams.
• Measurement & Analytics Expertise: Deep proficiency in MMM, MTA, unified measurement approaches, and marketing performance forecasting. Exposure to offline marketing analytics, brand measurement, and upper-funnel attribution.
• Causal Inference: Strong understanding of methodologies including Geo-experimentation, Difference in Differences (DiD), Synthetic Controls, and Uplift Modeling.
• Technical Proficiency: Strong skills in SQL and Python. Experience with large-scale media datasets and modern analytics ecosystems (Databricks, Snowflake, Airflow, CDPs, Clean Rooms, and cloud platforms like AWS, GCP, and Azure).
• Executive Consulting Skills: Excellent executive communication skills with a proven ability to present complex methodologies to C-suite stakeholders and influence investment decisions.
• Industry Experience (Preferred): Experience working in the Retail and Consumer Packaged Goods (Client) industries is highly preferred.
Location: PAN India
Exp: 12+ Years
Job Description:
• Define and Lead Strategy: Develop enterprise marketing measurement strategies, roadmaps, and lead strategic engagements across Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality, and unified measurement.
• Act as a Trusted Advisor: Partner with CMOs and senior leaders to drive investment decisions, performance forecasting, scenario planning, and marketing budget optimization.
• Translate Insights to Outcomes: Convert complex analytical outputs into actionable commercial recommendations for channel mix optimization, customer acquisition, retention, and profitability.
• Own Solution Delivery: Lead end-to-end delivery from problem definition to value realization, managing cross-functional teams spanning consulting, data science, and engineering.
• Drive Practice Development: Build actionable measurement frameworks, reusable accelerators, and intellectual property. Support business development through solutioning and thought leadership in marketing science and AI-enabled decision intelligence. Skills Required
• Experience: 12+ years in Data Science-led Marketing Measurement, Analytics, or Consulting, with 5+ years managing large-scale global client engagements and building high-performing, distributed teams.
• Measurement & Analytics Expertise: Deep proficiency in MMM, MTA, unified measurement approaches, and marketing performance forecasting. Exposure to offline marketing analytics, brand measurement, and upper-funnel attribution.
• Causal Inference: Strong understanding of methodologies including Geo-experimentation, Difference in Differences (DiD), Synthetic Controls, and Uplift Modeling.
• Technical Proficiency: Strong skills in SQL and Python. Experience with large-scale media datasets and modern analytics ecosystems (Databricks, Snowflake, Airflow, CDPs, Clean Rooms, and cloud platforms like AWS, GCP, and Azure).
• Executive Consulting Skills: Excellent executive communication skills with a proven ability to present complex methodologies to C-suite stakeholders and influence investment decisions.
• Industry Experience (Preferred): Experience working in the Retail and Consumer Packaged Goods (Client) industries is highly preferred.
