Highlights:
4.00 – 12.00 Years
10.00 – 40.00 INR (Lacs)/Yearly
Full-time
Mumbai, Delhi, Bengaluru, Gurugram
Skills
Marketing strategy
Roles & Responsibility
Professional & Technical Skills
● 2-8 years of experience in process excellence, marketing transformation, functional consulting, or management consulting, with increasing independence across engagements.
● Demonstrated ability to lead client workstreams, conduct capability and current-state process assessments, facilitate workshops, and present future-state recommendations to senior stakeholders.
● Strong understanding of marketing operating models and processes across two or more areas such as campaign management, content operations, media, CRM, social and influencer marketing, search, MarTech, or measurement.
● Working knowledge of how AI, automation, and agentic solutions can be integrated into marketing processes, including operating model and governance implications.
● Experience with process mapping, benchmarking, change-impact analysis, and business case development; ability to translate data into structured, business-ready recommendations.
● Strong communication, workshop facilitation, and client relationship skills, with the ability to explain complex process, AI, data, and technology choices in business terms.
● Ability to connect customer and growth outcomes with marketing process, operating model, technology, data, AI, governance, measurement, and adoption requirements.
● Experience working in fast-paced, matrixed, global consulting environments and managing multiple workstreams with client-facing accountability.
● Experience contributing to business development, proposal/RFP development, reusable assets, or thought leadership, and coaching junior practitioners, is preferred.
Requirements
Marketing Process Excellence – Consultant
Management Level
9 / Consultant
Must Have Skills
Marketing Process Redesign, Marketing Operating Model Transformation, AI & Automation Integration, Client Consulting
Good to Have Skills
Agent Experience (AX) Design, Process Mapping/Mining, MarTech and AdTech Ecosystems, Data Visualization (Tableau/Power BI)
Marketing Transformation & Benchmarking
● Assess marketing trends, customer and channel shifts, and peer practices to identify process reinvention opportunities across customer acquisition, engagement, loyalty, campaign planning, content operations, media, CRM/lifecycle marketing, social and influencer marketing, search, marketing operations, and measurement.
● Lead capability and process diagnostics and benchmarking to identify performance gaps, pain points, control issues, duplication, and opportunities to improve productivity, speed-to-market, customer experience, marketing effectiveness, and cost efficiency.
● Build data-driven assessments and executive-ready insights using AI-assisted analysis and visualization tools, translating findings into clear transformation priorities.
Future-State Marketing Process Design
● Lead future-state marketing process and operating model design covering AI integration points, workflow automation, decision rights, governance, human-machine interaction, platform enablement, measurement, and workforce adoption.
● Lead client discovery workshops and stakeholder interviews; facilitate co-creation across marketing, content, media, CRM, analytics, technology, and operations teams; and present recommendations to senior client stakeholders.
● Connect future-state marketing processes to MarTech/AdTech platforms and delivery realities so that transformation designs are practical, scalable, measurable, and ready for implementation.
Operating Model, Change & Adoption
● Develop change-impact assessments covering roles, skills, governance, ways of working, service delivery, and adoption implications created by redesigned marketing processes.
● Build and maintain marketing process playbooks, redesign methods, benchmarks, and reusable assets; contribute to proposals and thought leadership; and coach junior practitioners on marketing process excellence and operating model design.
AI & AX Design Application
● Embed Agent Experience (AX) Design principles into marketing process specifications by defining AI agent roles, autonomy levels, decision boundaries, controls, escalation triggers, and human-agent handoffs within redesigned workflows.
● Identify practical agentic use cases across marketing planning, insight generation, content and campaign operations, optimization, measurement, and reporting, with appropriate controls and governance.
