Senior Director Acceleration Office Global Supply Chain Technology, MedTech
About The Position
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. We invite candidates from any location to apply. 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 is essential to unlock the full value of AI-enabled transformation: it reduces execution risk, shortens time-to-value, improves resource efficiency, and creates a repeatable playbook for future programs. The Senior Director provides the leadership and single-point accountability required to deliver those outcomes at scale.
Requirements
- 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.
- Strong analytical skills, with SAP or other major ERP implementation experience
- Proven leadership experience across functional boundaries with strong influence and negotiating skills is required
- Knowledge of enterprise architecture and development methodologies.
- Broadening understanding of current capabilities and limitations of existing systems.
- Excellent English verbal and written communication skills, including formal executive presentation skills is required
- Experience in working with multiple partners and priorities is required
- Ability to influence and lead senior leadership teams is required
- 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
Nice To Haves
- MD Supply Chain experience preferred.
Responsibilities
- 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 so that decisions are data-driven and repeatable.
- 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 so value is captured and sustained.
- Owns delivery design, program management standards, and portfolio metrics for all $2B+ transformations.
- Coordinates cross-functional teams (IT, data science, process owners, legal/compliance, HR, finance, operations) to ensure integrated execution.
- Holds decision rights for delivery tradeoffs, prioritization of automation investments, and release sequencing within agreed governance.
- Escalates strategic risks and ensures alignment with executive sponsors and business unit leaders
- Aligns transformation investments to strategic business priorities and measurable value drivers (revenue uplift, cost reduction, throughput, quality).
- Converts fragmented parallel initiatives into a cohesive orchestrated program that accelerates time-to-value and lowers program risk.
- Increases predictability of outcomes through standardized delivery playbooks, measurable KPIs, and a single source of truth for status and value capture.
- 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.
Benefits
- annual performance bonus
- consolidated retirement plan (pension)
- savings plan (401(k))
- long-term incentive program
- Vacation –120 hours per calendar year
- Sick time - 40 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 period
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
