Define success criteria, expected business outcomes, user adoption measures, and evaluation methods.
Work with Marketing stakeholders to test solutions in real-world processes before broader rollout.
Recommend whether pilots should be scaled, refined, paused, or retired based on business value, feasibility, risk, and adoption.
AI and Automation Enablement for Marketing
Support the responsible deployment of AI-enabled tools and capabilities across Marketing.
Identify where AI and automation can improve speed, quality, consistency, insight generation, or customer experience.
Help Marketing teams understand how to use AI tools effectively and responsibly in day-to-day work.
Partner with AI, Data, Security, and Legal teams to ensure solutions meet enterprise standards.
Cross-Functional Partnership
Act as a bridge between Marketing, Digital Technology, AI Engineering, Data and Analytics, Product, Security, Legal, and external vendors where applicable.
Translate technical concepts into clear, practical guidance for Marketing stakeholders.
Translate Marketing needs into actionable requirements for technical teams.
Influence decisions through expertise, credibility, strong business understanding, and practical delivery focus.
Marketing Data, Insights, and Workflow Integration
Support deployment of solutions that improve access to marketing insights, performance data, audience intelligence, and campaign measurement.
Help integrate new tools and AI-enabled capabilities into existing marketing platforms, workflows, and reporting processes.
Identify data, process, or platform gaps that may limit solution effectiveness.
Collaborate with stakeholders to improve adoption, usability, and operational fit.
Risk, Governance, and Responsible Use
Identify risks related to privacy, security, data use, brand protection, customer communications, compliance, and responsible AI.
Ensure marketing technology solutions align with enterprise governance, data privacy, and responsible technology standards.
Support documentation, reviews, approvals, and change management activities required for controlled deployment.
Promote ethical use of customer, consumer, brand, and employee data.
Adoption, Change Enablement, and Knowledge Sharing
Develop practical enablement materials, playbooks, user guidance, and training support for Marketing teams.
Help users understand what is changing, why it matters, and how to use new capabilities effectively.
Gather feedback from users and stakeholders to improve deployed solutions.
Share learnings, reusable patterns, and best practices that can support future Marketing technology deployments.
MEASURES OF SUCCESS
Successful deployment of AI, automation, data, and digital solutions that address clear Marketing business needs.
Pilots and proofs of concept are evaluated using defined success criteria and clear business outcomes.
Marketing teams adopt new tools and capabilities effectively.
Solutions improve campaign execution, content workflows, personalization, customer engagement, reporting, or operational efficiency.
Risks related to privacy, security, responsible AI, compliance, and brand standards are identified and managed early.
Stakeholders have confidence in the role’s recommendations, delivery approach, and practical understanding of Marketing needs.
Reusable guidance, frameworks, and deployment learnings are created to support future scale.
JOB QUALIFICATIONS & EXPERIENCE
Bachelor’s degree in Technology, Marketing, Business, Data and Analytics, Computer Science, Engineering, or a related field.
10+ years of experience in technology deployment, marketing technology, digital transformation, data and analytics, AI enablement, or related roles.
Strong understanding of marketing processes, including campaign planning, content workflows, customer segmentation, personalization, performance measurement, or marketing operations.
Experience deploying technology solutions with business teams in a practical, hands-on environment.
Experience with AI, automation, data platforms, marketing technology, customer engagement tools, or digital platforms preferred.
Ability to translate business needs into technical requirements and technical concepts into clear business language.
Strong analytical, problem-solving, communication, and stakeholder management skills.
Demonstrated ability to balance innovation, user adoption, risk, and operational realities.
Experience working in a global or matrixed enterprise environment preferred.
Understanding of privacy, security, compliance, responsible AI, and data governance considerations preferred.
McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions.
Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy, as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.
Job Family: Information Technology
Location(s): IN - India : Haryana : Gurgaon
Company: McCain Foods(India) P Ltd
