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Director, AI enablement and Business process architecture

$150k - $258.75k
Full-time

Johnson & Johnson

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Technology Product & Platform Management

Job Sub Function:

Intelligent Automation Engineering

Job Category:

People Leader

All Job Posting Locations:

New Brunswick New Jersey United States of America

Job Description:

We are currently recruiting for a Director AI enablement and Business process architecture role based anywhere in the US.

Johnson & Johnson HR is advancing a digital-first employee-centric vision that simplifies work enhances experiences and unlocks the full potential of the workforce. The Director Head of AI Enablement and Business Process Architecture will shape how people process data and technology come together across the Hire-to-Retire lifecycle. This leader will define the enterprise HR AI and automation strategy while owning the future-state business architecture and workflow designs required to turn that strategy into intuitive connected compliant and measurable employee experiences.

The leader also owns the design of futurestate HR workflows ensuring HR services are intuitive connected and outcomedrivenbefore they are digitized automated or AIenabled.

The role leads a team of workflow designers and AI specialists and will work closely with HR process owners Product Managers Technology teams Data & Intelligence and Change leaders to ensure experiences are designed holistically and delivered consistently across platforms.

It combines strategic vision solution and experience design implementation leadership value realization and operational excellence. The leader will guide a global team and partner across HR Product Technology Data & Intelligence Risk Privacy Security Change and Operations to accelerate responsible transformation at scale.

Key Accountabilities

1. Business Process Architecture

Act as the business architecture leader for HR flow of work translating strategy and operating-model intent into executable end-to-end designs.

Create and maintain future-state blueprints that define process flows decision points roles controls system handoffs data requirements and experience patterns.

Define the maturity path for priority processes progressing from manual work to automated AI-assisted and increasingly autonomous experiences where appropriate.

Ensure architecture decisions simplify work reduce fragmentation clarify accountability and remain operationally viable and policy compliant.

2. Enterprise AI Enablement and Automation Strategy

Define and execute the enterprise HR AI enablement and automation strategy aligned with workforce experience priorities and the broader HR operating model.

Establish roadmap for integrating AI technologies intelligent automation and workflow orchestration across the Hire-to-Retire lifecycle.

Identify evaluate and prioritize opportunities based on business value employee impact process readiness risk scalability and organizational capacity.

Monitor external trends and emerging capabilities and translate them into practical implications for HR products services and operations.

3. End-to-End Workflow and Employee Experience Design

Own the design of employee-centric workflows across HR domains systems teams and channels using personas and journeys to anchor design choices.

Design seamless experiences that minimize handoffs eliminate avoidable rework and deliver support in the flow of work.

Establish experience and workflow-design standards reusable patterns artifacts templates and playbooks.

Ensure product backlogs and change plans trace clearly to approved future-state journeys and architecture.

4. AI Solution Delivery and Orchestration

Lead cross-functional teams in moving priority AI and automation opportunities from discovery and design through implementation adoption and continuous improvement.

Define orchestration patterns for how work decisions data and interactions move across Core HCM Talent Learning Service Delivery collaboration and experience platforms.

Partner with Product and Technology leaders to ensure proposed designs are feasible scalable secure supportable and aligned with enterprise architecture without owning system configuration.

Drive disciplined experimentation and learning while applying clear criteria for scaling redesigning or stopping initiatives.

5. Responsible AI Governance Risk and Controls

Establish governance frameworks for responsible ethical compliant secure and transparent use of AI across HR processes and platforms.

Embed privacy security legal employee-relations records data-quality human-oversight and model-risk considerations into solution design and lifecycle governance.

Define decision rights stage gates documentation expectations monitoring requirements and escalation paths for AI-enabled HR capabilities.

Partner with control functions and enterprise governance bodies to maintain alignment with applicable policies and standards.

6. Value Realization and Operational Outcomes

Define and track key performance indicators value-realization measures employee-experience outcomes adoption signals and operational metrics.

Create transparent prioritization and investment cases that connect transformation activity to productivity service quality speed risk reduction cost-to-serve and employee impact.

Use data and feedback to refine roadmaps workflows controls and adoption approaches.

Communicate progress trade-offs risks and realized value to senior stakeholders.

7. Team Leadership and Capability Building

Lead develop and inspire a global cross-functional team spanning AI enablement automation business architecture workflow design and related capabilities.

Set clear methods quality standards goals decision rights and performance expectations; coach team members and build succession and capability plans.

Build organizational fluency in journey mapping process modeling business architecture AI product thinking responsible AI experimentation and value realization.

Foster a culture of innovation simplification inclusion continuous learning and data-driven decision-making.

Required Qualifications

Bachelors degree in Human Resources Business Administration Information Technology Computer Science Engineering Systems Design or a related field.

Minimum of 7 years of progressive experience in digital transformation automation business architecture workflow or process design or workforce experience.

Demonstrated experience developing and executing enterprise AI automation or digital transformation strategies in a large complex global organization.

Hands-on leadership experience with one or more of the following: generative AI conversational AI machine learning intelligent automation robotic process automation or workflow orchestration.

Understanding of HR operating models service delivery and employee lifecycle journeys including Hire-to-Retire experiences.

Proven ability to design end-to-end experiences across multiple systems teams functions and geographies.

Experience leading global teams directly and through influence including coaching performance management and capability building.

Experience managing product or transformation roadmaps prioritization implementation adoption and value realization.

Executive-level communication stakeholder management change leadership strategic planning and the ability to translate ambiguity into clear structured decisions and designs.

Preferred Qualifications

Masters degree MBA or advanced degree in a relevant discipline.

Knowledge of HR technology ecosystems and experience platforms such as Workday ServiceNow Microsoft Copilot or comparable enterprise platforms.

Experience establishing AI governance responsible AI risk management privacy compliance security and human-oversight frameworks.

Background in product-led operating models agile methods service design process mining journey mapping and business architecture disciplines.

Experience building analytics-driven decision frameworks and measuring workforce experience and operational outcomes.

Professional certification in product management agile HR technology enterprise or business architecture AI data process improvement or digital transformation.

Key Working Relationships

Internal: HR leaders and process owners; HR Operations; Digital Product Managers and Product Owners; Technology and Enterprise Architecture; Data & Intelligence; Privacy Legal Security Risk and Compliance; Change and Communications; Finance and Global Business Services.

External: Technology and service partners AI and automation vendors industry peers professional associations and specialist advisors.

Additional Role Information

People management experience is required; the role is expected to lead a global team and cross-functional delivery network.

Ability to travel up to 1015% domestically and internationally as business needs require.

The position may follow Johnson & Johnson flexible work model and local location requirements.

Must be legally authorized to work in the applicable country without future sponsorship requirements where permitted by law.

Required Skills:

Preferred Skills:

Advanced Analytics Business Process Design Computer Programming Developing Others Human-Computer Interaction (HCI) Inclusive Leadership Industry Analysis Innovation Leadership Manufacturing Technologies Problem Solving Prototyping Quality Assurance (QA) Relationship Building Robotic Automation Software Development Management Succession Planning

The anticipated base pay range for this position is :

$150000.00 - $258750.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)).

This position is eligible to participate in the Companys long-term incentive program.

Subject to the terms of their respective policies and date of hire employees are eligible for the following time off benefits:

Vacation 120 hours per calendar year

Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado 48 hours per calendar year; for employees who reside in the State of Washington 56 hours per calendar year

Holiday pay including Floating Holidays 13 days per calendar year

Work Personal and Family Time - up to 40 hours per calendar year

Parental Leave 480 hours within one year of the birth/adoption/foster care of a child

Bereavement Leave 240 hours for an immediate family member: 40 hours for an extended family member per calendar year

Caregiver Leave 80 hours in a 52-week rolling period10 days

Volunteer Leave 32 hours per calendar year

Military Spouse Time-Off 80 hours per calendar year

Required Experience:

Director

Vacancy posted 2 days ago
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