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Accenture

Advises businesses and runs their technology

Marketing Technology Manager - Song, Adobe Martech Value Realization

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 8–10 years of experience is required.
  • An MBA from a Tier 1 institute and a degree in marketing or economics are required.
  • Hands-on experience in MarTech/AdTech transformation, MarTech assessment, MarTech tools, and cloud computing platforms is required.
  • Strong understanding of marketing processes, operating models, agent orchestration frameworks, API-based integrations, workflow automation tools, and marketing technologies is required.
  • Proven experience implementing AI-driven automation or agent-based workflows in enterprise marketing environments is required.
  • Experience working in cross-functional global teams to scale AI-enabled marketing capabilities across regions is highly important.
  • Experience building AI-driven personalization and automated journeys using Adobe Journey Optimizer and Real-Time CDP is required.
  • Familiarity with Adobe Sensei AI capabilities and agents, and extending them using custom AI/agentic frameworks, is required.
  • Knowledge of website, app, and marketing analytics tools is required, including Adobe Customer Journey Analytics, Adobe Analytics, Google Analytics, NetInsight, Omniture, WebTrends, SEMRush, and Firebase.
  • Strong understanding of value realization, business case development, benefits tracking, and ROI measurement in transformation programs is required.
  • Ability to translate MarTech capabilities and platform investments into measurable business outcomes is required.
  • Ability to define value trees, KPI hierarchies, baselines, targets, benefit ownership, and measurement mechanisms is required.
  • Proven working experience with digital marketing and advertising platforms across industries such as e-commerce, CPG, telecom, healthcare, and financial services is required.
  • Strong knowledge of marketing technologies, including data, content, marketing automation, campaign performance management, personalization, and analytics, is required.
  • Experience in MarTech and AdTech platform strategy planning, data visualization platforms, and cloud platforms is required.
  • Experience developing or contributing to business cases, value frameworks, KPI models, or benefits realization approaches for technology transformation programs is required.
  • Experience working across business, marketing, technology, data, finance, and platform teams in multi-stakeholder transformation environments is required.
  • Ability to support both pursuit-stage value articulation and delivery-stage value realization is required.
  • Proven experience contributing to or leading RFPs, proposals, solutioning, and business development is required.
  • Good consulting, techno-functional, and project management experience is preferred.
  • Excellent oral and written communication skills are required.

Responsibilities

  • Conduct MarTech and AdTech capability assessments and recommend optimizations to technology stacks, marketing processes, operating models, and integration architectures.
  • Assess current-state MarTech ecosystems and define target-state architectures, transformation roadmaps, platform rationalization opportunities, and implementation priorities.
  • Lead the design and deployment of agentic AI solutions in the MarTech ecosystem to improve marketing operations, autonomous campaign optimization, content personalization, and customer journey orchestration.
  • Assess vendors and research MarTech/AdTech systems for Generative and Agentic AI readiness and scalability.
  • Plan and design MarTech solution architecture, vision, and roadmaps.
  • Gather business requirements and design processes and solutions for implementing marketing and advertising tools.
  • Own the design and deployment of agentic AI solutions across the MarTech ecosystem.
  • Define modular, multichannel agentic frameworks to orchestrate automated content supply chains, continuous experimentation, real-time performance optimization, and media mix modeling.
  • Partner with technology solution providers and marketing agencies to deliver tailored solutions.
  • Integrate AI agents with enterprise MarTech stacks, including Adobe Experience Cloud.
  • Understand and communicate the impact of data privacy regulations such as CCPA and GDPR on marketing channels.
  • Mobilize and organize marketing transformation projects across multiple stakeholders.
  • Develop and manage a team of digital marketing platform specialists, including hiring, training, and work allocation.
  • Drive business development efforts and thought leadership in the digital marketing platform space.
  • Define and optimize marketing processes and operating models across campaign planning, audience management, personalization, orchestration, measurement, and optimization.
  • Develop business and value cases for MarTech transformation initiatives, quantifying benefits, investments, assumptions, dependencies, ROI, and expected outcomes across revenue, conversion, engagement, productivity, speed-to-market, and cost efficiency.
  • Define and operationalize value realization frameworks covering KPIs, baselines, targets, benefit ownership, measurement approaches, governance mechanisms, and alignment of platform investments to business objectives.
  • Support pursuits and delivery by shaping “why change / why now” narratives, validating value hypotheses and ROI logic, tracking benefits, conducting value health checks, and identifying value leakage across adoption, capability deployment, data, and operating-model gaps.
  • Drive corrective actions and continuous value realization by linking implementation milestones to adoption and business outcomes, and build reusable VRO assets such as business case frameworks, KPI libraries, value trees, templates, and measurement approaches.
  • Evaluate the business value and implementation feasibility of GenAI and Agentic AI use cases focused on defined business outcomes.
  • Drive enterprise adoption of agentic AI capabilities to transform campaign operations into autonomous marketing systems.
  • Advise stakeholders on AI strategy, governance frameworks, and ROI measurement models in marketing transformation initiatives.
  • Deliver and execute functional and technical design solutions, customizing where required, using Salesforce Marketing Cloud, Adobe Experience Cloud, or Google Marketing Platform.

Desired Qualifications

  • Good consulting, techno-functional, and project management experience.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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