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Benefits & Perks
•Learning
Required Skills
SAP Emarsys
Project Role: Business and Integration Practitioner
Project Role Description: Assists in documenting the integration strategy endpoints and data flows. Is familiar with the entire project life-cycle, including requirements analysis, coding, testing, deployment, and operations to ensure successful integration. Under the guidance of the Architect, ensure the integration strategy meets business goals.
Must have skills: SAP Emarsys Customer Engagement
Good to have skills: NA
Minimum 12 year(s) of experience is required
Educational Qualification: 15 years full time education
Summary:
Design, configure, and deliver enterprise SAP Emarsys Customer Engagement solutions by combining strong marketing and customer engagement domain expertise with AI assisted delivery and integration practices. The role focuses on accelerating campaign execution, improving personalization and customer experience, and embedding pre built AI and automation capabilities into omnichannel engagement workflows—without building or training AI models.
Core Responsibilities:
- Enterprise Customer Engagement Delivery
- Design, configure, and implement SAP Emarsys solutions for omnichannel marketing, personalization, and customer lifecycle management.
- Translate marketing, sales, and business requirements into scalable customer journeys, segments, and campaigns.
- Support end to end delivery including enhancements, integrations, testing, rollouts, and production support.
- AI Assisted Delivery & Productivity
- Use AI copilots and GenAI tools to accelerate campaign design, segmentation logic, content structuring, documentation, testing, and troubleshooting.
- Apply AI assisted techniques to identify engagement patterns, campaign performance trends, and optimization opportunities.
- Leverage pre built AI capabilities within Emarsys (e.g., recommendations, automation, intelligent insights) to enhance personalization and engagement effectiveness.
- Integration & Data Enablement
- Integrate SAP Emarsys with CRM, commerce, ERP, and data platforms using standard enterprise integration patterns.
- Collaborate with marketing, IT, and data teams to ensure consistent customer data, consent management, and governance.
- Understand AI concepts such as recommendations, next best action, and intelligent segmentation at an applied level, without owning model design.
- Stakeholder Collaboration
- Partner with marketing, digital, and business stakeholders to align engagement strategies with customer and revenue objectives.
- Communicate complex customer engagement and system concepts clearly to non technical audiences.
- Act as a bridge between functional teams and AI native specialists when advanced AI capabilities are required.
- Quality, Governance & Adoption
- Ensure adherence to enterprise SDLC, data privacy, consent, security, and responsible AI guidelines.
- Support change management, enablement, and adoption across marketing and business teams.
- Drive continuous improvement using performance metrics, feedback, and AI enabled accelerators.
- Primary Skills (Must Have)
- SAP Emarsys Customer Engagement configuration and delivery expertise.
- Strong understanding of digital marketing, customer journeys, and personalization concepts.
- Experience using AI assisted tools or copilots for delivery, analysis, or documentation.
- Ability to align customer engagement solutions with business growth and experience outcomes.
- Secondary / Good to Have Skills
- Experience with CRM, commerce, or customer data platforms.
- Exposure to campaign analytics, reporting, or customer insights.
- Familiarity with consent management, data privacy, and regulatory requirements.
- Working knowledge of automation or intelligent recommendations in marketing contexts.
- What This Role Does Not Require
- No training or fine tuning of AI/ML models.
- No ownership of AI architectures or MLOps pipelines.
- Focus remains on integration, adoption, and productivity uplift, not AI engineering or research.
- Value Delivered
- Faster SAP Emarsys implementations and campaign rollouts through AI assisted delivery.
- Improved personalization, engagement effectiveness, and marketing efficiency.
- Scalable customer engagement outcomes without reliance on scarce AI native talent.
Additional Information:
- 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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About Accenture

Accenture
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Dublin
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Work Life Balance
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$63,830
total / year
Base
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Stock
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Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
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