{"id":3822696,"url":"https://alion.io/job/accenture-manager-ai-data-marketing-cdp","title":"Manager - AI & Data Marketing CDP","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2131,"ghost_share":0.001,"stale_share":0.178,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Gemini","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"Bitbucket","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Git","optional":true},{"name":"GitLab CI","optional":true},{"name":"Google ADK","optional":true},{"name":"Google Bigtable","optional":true},{"name":"Google GKE","optional":true},{"name":"JavaScript","optional":true},{"name":"Jenkins","optional":true},{"name":"JQuery","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Microsoft Excel","optional":true},{"name":"MS SQL","optional":true},{"name":"Postman","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-05T17:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-05T17:35:00Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"What you would do in this role:\n\nA Consultant/Manager/Analyst for Customer Data Platforms serves as the day-to-day marketing technology point of contact and helps our clients get value out of their investment into a Customer Data Platform (CDP) by developing a strategic roadmap focused on personalized activation. You will be working with a multidisciplinary team of Solution Architects, Data Engineers, Data Scientists, and Digital Marketers.\n\nAs part of that, we are seeking a highly skilled Consultant/Manager/Analyst to architect, build, and operationalize custom Customer Data Platforms (CDPs), agentic AI systems, and marketing data solutions on the Google Cloud Platform (GCP). You will be at the intersection of data engineering, MLOps, and marketing technology, building the foundational infrastructure that enables our clients to understand their customers, predict their needs, and deliver personalized experiences at scale.\n\nKey Duties and Responsibilities (GCP CDP):\nArchitect & Design: Lead the technical design and architecture of enterprise-grade, custom CDPs and marketing data warehouses on Google Cloud Platform (GCP).\nBuild Production-Grade Data Pipelines: Engineer robust, scalable, and automated data pipelines for both streaming and batch ingestion using services like Cloud Dataflow, Pub/Sub, and Cloud Functions. Containerize processing jobs with Docker for portability and scalability.\nModel for Insight & Activation: Design and implement data models in BigQuery optimized for customer identity resolution, 360-degree profile creation, segmentation, and analytics.\nChampion DevOps & MLOps: Champion and implement Infrastructure as Code (IaC) using Terraform. Build CI/CD pipelines using Cloud Build to automate testing and deployment, manage container images in Artifact Registry, and secure credentials using Google Secret Manager.\nDeploy & Serve: Develop and deploy containerized, serverless APIs using Docker and Cloud Run for real-time data ingestion and activation, feeding customer segments and triggers into marketing platforms.\nOperationalize Machine Learning: Collaborate with data scientists to productionize ML models such as propensity, LTV, and segmentation using the Vertex AI platform. Build automated training pipelines and deploy models for real-time inference.\nCollaborate & Innovate: Work within a multidisciplinary team to translate business requirements into technical solutions, prototype new approaches, and provide expert guidance on the art of the possible with GCP and modern data engineering.\nEnsure Governance & Security: Implement solutions that adhere to data governance best practices and privacy regulations such as GDPR and CCPA, ensuring data is handled securely and ethically.\n\nKey Duties and Responsibilities (RTCDP):\nBe a platform expert in Adobe RTCDP (Adobe Real-Time CDP). Developer-level expertise on Adobe RTCDP (Adobe Experience Platform) is a must, with other CDP platforms like Lytics, Segment, Amperity, Tealium, Treasure Data, and custom-built CDPs as an added advantage.\nDeep developer-level expertise for real-time event tracking for web analytics, such as Google Tag Manager, Adobe Launch, Adobe Web SDK, and related tools.\nProvide deep domain expertise in the client’s business and broad knowledge of digital marketing together with a marketing strategist industry perspective.\nDeep expert-level knowledge of reporting tools like GA360/GA4, Adobe Analytics, and Customer Journey Analytics.\nDeep expert-level knowledge of paid media destinations such as Google Ads, DV360, Campaign Manager, Facebook Ads Manager, and The Trade Desk.\nDeep developer expertise for journey orchestration and personalization tools like Adobe Target, Adobe Campaign, and Adobe Journey Optimizer.\nAssess and audit the current state of a client’s marketing technology stack (MarTech), including data infrastructure, ad platforms, and data security policies, together with a solutions architect.\nConduct stakeholder interviews and gather business requirements.\nTranslate business requirements into BRDs, CDP customer analytics use cases, and structured technical solutions.\nPrioritize CDP use cases together with the client.\nCreate a strategic CDP roadmap focused on data-driven marketing activation.\nWork with the Solution Architect to strategize, architect, and document a scalable CDP/MarTech implementation tailored to the client’s needs. Able to integrate multiple MarTech tools.\nEnsure analytics are consistently implemented across digital properties. Diagnose and troubleshoot analytics/MarTech implementation and platform configuration issues. Perform end-to-end QA testing for integrations.\nCoordinate with website developers for analytics integration, data layer implementation, and MarTech tools integration.\nDesign and implement Adobe stack MarTech tools like Adobe Target, Adobe Campaign, Adobe Journey Optimizer, Adobe Launch, Adobe Web SDK, Adobe Analytics, and Customer Journey Analytics.\nDeep domain expertise in tag management, journey orchestration, campaign management, and A/B testing.\nPerform technical analysis and design for MarTech-related initiatives. Define requirements for MarTech implementation and reporting dashboards.\n\nKey Duties and Responsibilities (Agentic AI):\nArchitect the core interaction logic and decision-making frameworks for enterprise-grade, agentic AI systems within marketing on GCP.\nLeverage Google Agent Development Kits (ADKs) and APIs to orchestrate complex, multi-step agentic workflows, focusing on reasoning capabilities.\nDesign agentic AI systems for scalability, robustness, and real-time responsiveness in autonomous marketing decision-making.\nDesign and implement data storage strategies optimized for efficient retrieval of context for AI agents.\nDesign, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines to equip Gemini agents with contextually relevant information from various knowledge sources.\nLeverage Gemini models' reasoning capabilities to enable agents for complex analysis, strategic planning, and problem-solving in marketing contexts.\nDevelop and apply advanced prompting techniques such as Chain-of-Thought and Few-Shot to guide and enhance the reasoning, accuracy, and output quality of AI agents.\nImplement and leverage grounding and evaluation capabilities within agentic AI systems to ensure outputs are factually accurate, contextually relevant, and traceable to specific data sources for marketing applications.\nDevelop and deploy AI-driven solutions for generating multimodal marketing assets such as personalized images, video snippets, and audio messages powered by Gemini.\nImplement LLMOps best practices for the lifecycle management of agentic AI models, including CI/CD for AI components.\nEnsure secure and compliant interactions for AI agents, managing credentials and secrets relevant to AI model access.\nImplement robust monitoring, logging, and observability specifically for the performance, decision paths, and output quality of agentic AI systems.\nPrototype new approaches and provide expert guidance on GCP AI services, Gemini, RAG, advanced prompting, and reasoning AI techniques.\nCreate insights presentations and client-ready decks, effectively communicating findings and recommendations.\nMentor and guide junior resources, fostering a collaborative and growth-oriented team environment.\nDemonstrate strong communication skills, both verbal and written, to effectively convey complex concepts and insights to stakeholders.\nDevelop strong relationships with clients at all levels, understanding their specific challenges and opportunities.\n\nOther roles and responsibilities:\nBusiness intelligence expertise for insights and actionable recommendations.\nProject management expertise for sprint planning.\nProvide hands-on support and platform training for clients.\nData processing, data engineering, and data schema/model expertise for CDPs to work on data models, unification logic, and related areas.\nWork with Business Analysts, Data Architects, Technical Architects, and DBAs to achieve project objectives, delivery dates, and quality objectives.\n\nWho are we looking for?\nB.Tech/M.Tech from reputed engineering colleges.\nMaster’s/M.Tech in Computer Science.\nMaster’s degree in Statistics, Econometrics, or Economics from a reputed institute.\nM.Phil./Ph.D. in Statistics, Econometrics, or a related field.\n8+ years of hands-on experience in data engineering or software engineering with a data focus.\nAt least 6+ years of demonstrable experience building and managing data solutions on a major cloud platform. GCP is strongly preferred; AWS/Azure experience is valuable.\nAt least 4+ years of relevant work experience in marketing, consulting, or analytics.\nStrong understanding of data governance and compliance, including PII, PHI, GDPR, and CCPA.\nExperience with analytics tools like Google Analytics, Adobe Analytics, or Adobe Customer Journey Analytics is a plus.\nDeveloper experience with tag management platforms like Adobe Launch/AEP Web SDK, Google Tag Manager, and Tealium iQ. Certification in any one is a plus.\nStrong understanding of implementation of consent management platforms such as Sourcepoint and OneTrust on digital assets.\nExperience in requirement gathering, solution design, tag implementation and audits, and MarTech tools integration.\nExperience in defining measurement frameworks for websites/apps, suggesting KPIs to track, and driving strategy for customer engagement.\nStrong experience in ETL, data aggregation, and transformation using SQL is a must.\nExperience in mobile analytics implementations is nice to have.\nGood to have programming experience in PySpark, Python, and shell scripts.\nRDBMS, T-SQL, and NoSQL experience is a plus.\nManage large volumes of structured and unstructured data, extract and clean data to make it amenable for analysis.\nExperience in deployment and operationalizing code is an added advantage.\nExperience with source control systems such as Git and Bitbucket, and continuous integration tools such as Jenkins.\nProficient in Excel, MS Word, and PowerPoint.\n\nRTCDP (specific skills):\nAt least 4+ years of relevant work experience implementing CDP solutions with deep understanding of identity resolution methods, with a minimum of 1 year in Adobe RTCDP.\nAt least 4+ years of relevant work experience in marketing, consulting, or analytics.\nAt least 5+ years of experience working in an agency environment.\nAt least 5 years of experience working as a subject matter expert in Adobe Marketing Cloud Stack.\nExperience with A/B testing tools like Adobe Target is a plus.\nExperience with campaign management tools like Adobe Journey Optimizer and/or Adobe Campaign is a plus.\nExperience with Adobe Marketing Cloud tools like Adobe Workfront, Adobe Experience Manager (AEM), and DAM is a plus.\nExperience in Postman APIs is a plus.\nStrong hands-on experience with advanced JavaScript and jQuery. Able to develop custom tags/scripts using tag managers.\n\nAgentic AI (specific skills):\n5+ years of hands-on experience in software engineering with a data focus, or AI/ML engineering.\nAt least 3 years of demonstrable experience building and managing data/AI solutions on Google Cloud Platform (GCP).\nDemonstrable experience building and deploying agentic AI systems, leveraging LLMs for complex decision-making.\nHands-on experience with Retrieval-Augmented Generation (RAG) pipelines and integrating external knowledge sources for LLMs.\nProven ability to apply advanced prompting techniques such as Chain-of-Thought and Few-Shot to guide and enhance LLM reasoning and output quality.\nExperience working with large language models (LLMs) with a focus on their reasoning capabilities.\nHands-on experience working with Google Gemini models and their APIs/SDKs is highly preferred.\nExperience with multimodal AI concepts is a significant advantage.\nIn-depth, hands-on expertise with core GCP data and AI services, including Vertex AI for LLM integration, prompt engineering, and RAG pi...","description_format":"text","description_chars":13561,"description_truncated":true,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Systems Integrators","Business Process Outsourcing (BPO)","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-11-05T17:35:00Z"}],"visa":[],"liveness":{"score":64,"band":"ok","label":"Likely open","p_open":1,"p_active":0.857,"p_room":0.75,"age_days":4,"expected_fill_days":5,"reasons":["seen:4","velocity","win:late","comp:brand"],"computed_at":"2026-11-10T06:52:35Z"},"pay":null,"html_url":"https://alion.io/job/accenture-manager-ai-data-marketing-cdp","json_url":"https://alion.io/job/accenture-manager-ai-data-marketing-cdp.json","meta":{"generated_at":"2026-11-10T11:03:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25641,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":271},"rest":"https://alion.io/mcp/rest/get_company?id=271"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faccenture-manager-ai-data-marketing-cdp"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Faccenture-manager-ai-data-marketing-cdp"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Faccenture-manager-ai-data-marketing-cdp"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/accenture-manager-ai-data-marketing-cdp\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faccenture-manager-ai-data-marketing-cdp"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3822696}},{"tool":"search_jobs","arguments":{"company":"accenture.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3822696},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}