At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through 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 humanity.
Senior Director Acceleration Office Global Supply Chain Technology
Location
United States
Posted
6 days ago
Salary
$178K - $307.1K / year
Seniority
Lead
No structured requirement data.
Job Description
Senior Director Acceleration Office Global Supply Chain Technology
Johnson & Johnson Innovative Medicine
Role Description This is a remote/hybrid role available to the East Coast. While specific cities are listed in the Locations section for reference, please note that they are examples only and do not limit your application. The Senior Director, Acceleration Office leads the design and execution of an AI-first, end-to-end delivery model that ensures all $2B+ transformation programs operate at peak effectiveness and realize their timeline, cost, and value objectives. This role creates a single accountable engine for orchestrating workstreams, accelerating delivery, and maximizing measurable business impact from AI and automation. Primary Objectives - Unifying disparate workstreams into one orchestrated model to unlock the full value of AI-enabled transformation. - Reducing execution risk, shortening time-to-value, improving resource efficiency, and creating a repeatable playbook for future programs. - Providing leadership and single-point accountability required to deliver outcomes at scale. Tasks/Duties/Responsibilities - AI First Operating Model - Establish a unified, end-to-end delivery model that removes handoff friction and aligns program, technology, and business workstreams. - Embed AI-first principles and automation into delivery practices for data-driven and repeatable decisions. - Ensure consistent governance, portfolio-level visibility, and performance metrics across all major transformation programs. - Prioritize and sequence the AI automation roadmap to deliver highest-value outcomes quickly and sustainably. - Drive enterprise adoption and operationalization of new capabilities to capture and sustain value. - Operational Excellence - Own delivery design, program management standards, and portfolio metrics for all $2B+ transformations. - Coordinate cross-functional teams (IT, data science, process owners, legal/compliance, HR, finance, operations) for integrated execution. - Hold decision rights for delivery tradeoffs, prioritization of automation investments, and release sequencing within agreed governance. - Escalate strategic risks and ensure alignment with executive sponsors and business unit leaders. - Strategic Alignment and Value Proposition - Align transformation investments to strategic business priorities and measurable value drivers (revenue uplift, cost reduction, throughput, quality). - Convert fragmented parallel initiatives into a cohesive orchestrated program that accelerates time-to-value and lowers program risk. - Increase predictability of outcomes through standardized delivery playbooks, measurable KPIs, and a single source of truth for status and value capture. - Key Performance Indicators - Portfolio on-time delivery rate against milestone baselines. - Realized value vs. target (cost savings, revenue impact, productivity gains). - Percent of prioritized automation roadmap delivered and adopted. - Reduction in cross-workstream cycle time and handoff delays. - Stakeholder satisfaction and adoption metrics across impacted business units. - Risk Mitigation and Compliance - Proactively identify legal, regulatory, and data-governance exposures tied to AI/automation and coordinate mitigations. - Maintain controlled change management to protect operational stability while accelerating capability rollout. - Ensure clear accountability to avoid overlapping responsibilities and decision paralysis. - Talent & People Management Focus Areas - Define the “AI-ready” competency model (technical, data literacy, product thinking, governance, ethics, change capability). - Create prioritized pipelines for critical roles, including internal mobility and external hiring strategies. - Launch modular learning pathways (foundations, role-based technical tracks, leadership for AI) and measure completion and proficiency. - Align performance goals, promotion criteria, and incentives to AI/automation outcomes and value capture. - Embed role-based change champions, coaching programs, and frontline enablement to accelerate adoption. - Ensure diverse hiring for AI roles and active retention plans (career progression, mentorship, meaningful work) to preserve institutional knowledge. - Maintain a bench of ready successors and rotational assignments to reduce single-person risk. Qualifications - Deep expertise in program and portfolio management (governance, KPIs, RAIDs, risk escalation). - Familiarity with modern delivery practices: Agile-at-scale, product management, DevOps/MLops, and automation engineering. - Strong data literacy: ability to define metrics, interpret analytics, and use data to drive prioritization and decisions. - Hands-on understanding of AI/ML lifecycle, automation technologies (RPA/orchestration), cloud platforms, and integration patterns. - Supply Chain experience required with strong end-to-end process expertise. Experience: MD Supply Chain experience preferred. - Strong analytical skills, with SAP or other major ERP implementation experience. - Proven leadership experience across functional boundaries with strong influence and negotiating skills. - Knowledge of enterprise architecture and development methodologies. - Excellent English verbal and written communication skills, including formal executive presentation skills. - Experience in working with multiple partners and priorities. - Ability to influence and lead senior leadership teams. - Experience leading and scaling multidisciplinary teams (program managers, product owners, data scientists, ML/ops, engineers, change leads). - Strong track record in talent strategy: hiring, reskilling/upskilling, career-path design, performance management, and retention. - 5+ years of people management experience. - 25% travel domestic and international. Benefits - Highly competitive, performance-based compensation programs. - Annual performance bonus based on individual and corporate performance. - Eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). - Vacation – 120 hours per calendar year. - Sick time - 40 hours per calendar year; for employees in Colorado – 48 hours; for employees in Washington – 56 hours. - 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 period. - Volunteer Leave – 32 hours per calendar year. - Military Spouse Time-Off – 80 hours per calendar year.
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