Job Description
Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.
Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.
We are seeking an experienced Adobe Target experimentation professional to support the establishment and operation of an enterprise experimentation Center of Excellence (COE). This role will act as a platform owner and internal consultant, enabling ecommerce and digital teams to independently design, launch, and scale experimentation and personalization programs while operating within clear governance, quality, and measurement standards. This role will provide the frameworks, guardrails, consulting, and enablement required to scale Adobe Target across teams.
Information Security Responsibilities
Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
Role & Responsibilities
Adobe Target COE & Governance
Help define and maintain the Adobe Target operating model, governance framework, and standards
Establish best practices for activity setup, audiences, offers, workspaces, and permissions
Define and enforce QA, launch readiness, and risk management processes
Act as a point of escalation for complex or high-risk experiments
Manage multiple teams within an organization in Target adoption and maturity assessment
Internal Consulting & Enablement
Partner with ecommerce and digital teams to provide consultation on:
KPI selection and success metrics
Experiment feasibility and prioritization
Support teams across the full experimentation lifecycle: design, build, QA, launch, and readout
Host office hours and intake sessions to guide teams toward self-sufficiency
Experimentation Execution & Quality
Ensure experiments meet statistical rigor and measurement standards
Review test results and guide teams on decision-making and next steps
Conduct regular audits of live and completed activities to ensure quality and consistency
Measurement & Optimization
Partner with analytics teams to align Adobe Target activities with measurement frameworks and business KPIs
Support test readouts, learnings documentation, and experimentation reporting
Monitor experimentation program health (velocity, win rate, impact, adoption)
Identify opportunities to optimize processes, tooling, and usage over time
Training & Adoption
Develop and deliver role-based Adobe Target training (beginner to advanced)
Create self-service documentation, playbooks, and best-practice guides
Support onboarding of new teams into Adobe Target
Drive adoption through education, socialization, and experimentation showcases
Advanced & Premium Capabilities
Support adoption of Adobe Target Premium capabilities, including:
Auto-Target and Auto-Allocate
Experience Targeting and personalization strategies
AI-driven optimization use cases
Provide guidance on scaling personalization responsibly and effectively
Qualifications
5–8+ years of experience in digital optimization, experimentation, or personalization
Deep hands‑on experience with Adobe Target (Standard and/or Premium)
Strong understanding of:
A/B and multivariate testing
Experiment design and statistical concepts
Personalization strategies and segmentation
Experience working in a federated or COE experimentation model
Ability to consult, influence, and enable cross‑functional teams
Strong communication skills with both technical and non‑technical stakeholders
Preferred Qualifications
Adobe Target certification(s)
Agency experience with client facing skills required
5+ years of related experience in Product Management and Testing and Personalization with a proven track record of driving customer experience improvements
Ability to learn new technologies at high level to identify use opportunities
Previous work with CDPs, marketing automation, and omni‑channel campaign management platforms
Familiarity with experimentation program maturity models
Experience with AI‑driven optimization and personalization at scale
$94,000 - $125,000 a year
Individual pay is determined by many factors, including experience, relevant education or training, and organizational needs. The mid-range to maximum of the salary range is generally reserved for individuals who are highly experienced in the role.
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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.
For Employment Opportunities Based In Canada
Bounteous is an equal opportunity employer. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates.
Must be legally eligible to work in Canada.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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