Process Manager

10 - 12 years

Mumbai

Posted:6 days ago

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Job Description

Role: Principal Consultant – Marketing Analytics

Location: India – Mumbai | Pune

 

Job Summary

 

The Principal Consultant is a pivotal role responsible for translating client business priorities into high-value analytical workstreams, and connecting insights to strategic decision-making. This individual will work directly with the client's CMO organization as the primary engagement lead and trusted advisor, ideating on solution approaches to measure the success of marketing efforts and activities, and owning the analytics roadmap, delivery governance, and outcomes of a hybrid-skilled team spanning data engineering, data modeling, BI, and automation.

Key Responsibilities

  • CMO Org Partnership & Stakeholder Management:

  • Marketing Measurement Solutioning:

  • Analytics Strategy & Roadmap:

  • Consulting & Insight Generation:

  • Delivery Oversight & Governance:

  • Solution Design:

  • Cross-Functional & Team Collaboration:

  • Team Leadership:

Qualifications and Experience

  • Advanced degree

      (MBA, MS in Data Science, Statistics, or related field) with 8+ years of relevant experience, including 6+ years in analytics leadership. Alternatively, a Bachelor's degree with 12+ years of experience, including 8+ years in analytics leadership.
  • Marketing background

      with hands-on experience in marketing analytics, campaign measurement, or marketing performance management, sufficient to engage credibly with a CMO organization.
  • Excellent communication and presentation skills

      with the ability to articulate complex technical concepts and analytical recommendations to executive and non-technical stakeholders.
  • Demonstrated ability to build and maintain

          strong relationships at the executive level within client organizations, including experience leading engagements remotely from an offshore delivery center.
  • Strong problem-solving and analytical skills

      to translate ambiguous business priorities into structured, high-value analytical workstreams.
  • Deep expertise

      in marketing and commercial analytics, attribution modeling, and measurement frameworks applied to enterprise/B2B environments.
  • Strong understanding

      of cloud platforms (AWS, GCP, Azure) and data engineering/analytics tools (e.g., Databricks, Snowflake, Power BI, Tableau).
  • Experience managing and collaborating

          with distributed/offshore delivery teams, and coordinating closely with onsite program managers and client stakeholders.
  • Proven leadership and people management skills

      with a focus on developing and retaining team talent.
  • Proven negotiation and governance skills

      to build consensus and drive alignment across steering and governance committees.

Desired Skills

  • Proven experience

      leading marketing analytics engagements or advisory teams for enterprise/technology clients, with a preference for marketing, revenue, or commercial analytics.
  • Domain preference for IoT, instrumentation, or industrial automation,

      given the relevance of these domains to the client's business context.
  • Demonstrated expertise

      across data engineering, data modeling, BI/visualization, and AI-enabled automation (Generative AI/LLMs), sufficient to guide a multi-skill team.
  • Proven ability

      to convert market, account, and campaign data into actionable growth intelligence and communicate it to executive audiences.
  • Experience

      applying agile methodologies (such as Scrum) and proficiency with project management tools (e.g., Jira, Asana).
  • Proficiency in

      SQL, Python, and/or R programming languages.
  • Experience

      with data visualization tools such as Power BI and Tableau.
  • Familiarity with

          problem-solving frameworks (such as root cause analysis, Six Sigma, or Design Thinking) applied to marketing/commercial analytics challenges.

Skills Required

Data Engineering Artificial Intelligence BI Programming Languages Project Management Tools Modeling Analytics

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