Director, Head of Technology

Johnson & Johnson•Horsham, PA

1d•Onsite

About The Position

Johnson and Johnson Innovative Medicine, is currently recruiting for a Director, Head of Technology, to support the Commercial Oncology business. This position’s primary location will be Horsham, PA and will require up to 15% travel, primarily in the NJ, PA area with occasional domestic travel. The Head of Technology (HoT) provides technology direction and project execution for Johnson and Johnson Innovative Medicine Commercial franchises and supporting functions. In this capacity, the HoT will lead omnichannel engagement, launch readiness, and digital initiatives. We partner with Product Groups, platform teams, development teams, and marketing agencies to deliver scalable, efficient solutions that enable data‑driven decisions. This role sits at the intersection of product and business leadership, business analysis, digital delivery, and strategy. We help to shape product vision, develop strategic technology roadmaps, and ensure significant value in a regulated healthcare environment. We build positive relationships, analyze business processes, interpret digital behavior, and uphold J&J Technology quality, compliance, and governance standards. Do you thrive in fast‑paced, cross‑functional environments where technology fuels impact and innovation? If so, join us. Together, we bring clarity, alignment, and momentum to complex digital programs—and empower our commercial teams to succeed!

Requirements

10 years of job-related experience OR 12 years of job-related experience and skills to satisfactorily perform the position responsibilities
Bachelor’s degree in Technology, Engineering, Data Science, Business, or a related field required.
Significant progressive experience in business technology leadership roles, with a strong track record supporting commercial, customer-facing, or revenue-generating organizations.
Demonstrated success leading complex technology portfolios across Digital, Web, CRM, and/or Data & Analytics from strategy through execution and operations.
Practical experience incorporating AI and advanced analytics into business solutions, including partnering with data science teams and translating AI capabilities into business value.
Strong ability to influence senior business leaders, align cross-functional teams, and operate effectively in ambiguous, high-visibility environments.
Experience managing budgets, vendors, and delivery partners while maintaining accountability for outcomes and value realization.

Nice To Haves

Advanced degree (MBA, MS, or equivalent) preferred.
Familiarity with AI governance concepts, including model transparency, data lineage, validation, and risk management.
Formal training or certification in Agile, Product Management, Program Management (PMP), or related methodologies.
Strong understanding of customer engagement platforms, data privacy, PII protection, and information security principles.
Experience using data visualization and storytelling tools such as Tableau, Power BI, or similar platforms to communicate insights and AI-driven outcomes to executive audiences.
Exposure to AI-enabled use cases such as personalization, forecasting, decision support, or intelligent automation.

Responsibilities

Strategic Business & AI Partnership Serve as a trusted strategic partner to senior commercial leaders, shaping technology and AI roadmaps aligned with business priorities, growth objectives, and enterprise strategy.
Identify and champion opportunities where AI, advanced analytics, automation, and digital platforms can enhance customer engagement, decision-making, and operational efficiency.
Lead proactive demand shaping and investment prioritization, ensuring technology and AI initiatives deliver clear business outcomes and return on investment.
Business, Technology & AI Integration Partner with business teams on planning, needs analysis, and business risk assessment, leading complex business process design and re-engineering initiatives enabled by digital and AI capabilities.
Act as the primary liaison between commercial stakeholders and Technology Product Lines (e.g., Digital, CRM, Data & Analytics, AI Platforms), ensuring clarity of priorities, feasibility, and execution plans.
Translate business strategies into AI-informed solution architectures, balancing innovation with scalability, explainability, data integrity, and compliance requirements.
Delivery, Governance & Financial Stewardship Provide executive oversight for a portfolio of medium to large-scale initiatives across Digital, Web, CRM, Reporting & Analytics, and AI-enabled use cases, from concept through delivery and operations.
Ensure disciplined execution using Agile, Product, and SDLC methodologies, while evolving delivery models to incorporate experimentation, pilots, and iterative AI development where appropriate.
Partner in financial management of the commercial technology portfolio, including budgeting, investment cases, vendor management, and cost optimization.
Anticipate and actively manage delivery risks related to data quality, model performance, adoption, security, and regulatory compliance, escalating issues with clarity and speed.
AI, Data & Innovation Leadership Guide the responsible adoption of AI and advanced analytics, including use cases such as customer segmentation, personalization, forecasting, insight generation, and operational automation.
Partner with Data Science, Analytics, and Platform teams to ensure AI solutions are built on trusted data, governed models, and reusable enterprise capabilities.
Establish effective collaboration models across internal teams and external vendors, agencies, and technology partners delivering digital, analytics, and AI solutions.
Promote standard methodologies, reusable patterns, and shared learning across the broader Technology organization to accelerate value delivery.
People, Culture, Security & Compliance Provide leadership, coaching, and mentorship to technology leaders and teams, fostering a culture of accountability, curiosity, and continuous improvement.
Ensure all technology and AI solutions comply with enterprise security, privacy, data protection, and regulatory requirements, including the ethical and compliant use of AI.
Act as a role model for strong governance, transparent decision-making, and responsible innovation in a complex, evolving commercial environment.