Senior IT Manager – Data, Integration & Advanced Analytics

Jobtailor; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking an senior executive to define and drive enterprise data, integration, analytics, and AI strategies across the organization. You will develop multi-year roadmaps, lead global teams, and partner with business and technology leaders to prioritize investments and deliver measurable value.

Ideal candidates will have extensive leadership experience in data platforms, AI programs, and regulated industries, with a track record of transforming business outcomes through analytics and

Qualifications

• 7+ years of experience with a bachelor’s degree or 5+ years of experience with an advanced degree.
• 5+ years of managerial experience.
• Experience delivering enterprise data platforms, integration ecosystems, analytics solutions, and AI initiatives.
• Knowledge of modern cloud data, analytics, AI, and integration technologies.
• Experience in MedTech, Healthcare, Life Sciences, or other regulated industries.

Responsibilities

• Define and execute enterprise strategies for Data, Integration, Analytics, and AI capabilities aligned with business objectives and enterprise architecture.
• Develop and maintain multi-year roadmaps for data modernization, analytics transformation, AI adoption, and integration capabilities.
• Lead a portfolio of enterprise data, integration, analytics, and AI initiatives from concept through value realization.
• Establish governance frameworks and delivery models that maximize business value.
• Drive program execution, risk management, and executive reporting across strategic initiatives.
• Partner with business and technology leaders to align investments with enterprise priorities and long-term growth objectives.

Skills

Strategic leadership

Data analytics

Communication

Stakeholder management

Financial management

Education

Bachelor's or advanced degree

Job description

Responsibilities

• Define and execute enterprise strategies for Data, Integration, Analytics, and AI capabilities aligned with business objectives and enterprise architecture.
• Develop and maintain multi-year roadmaps that advance data modernization, analytics transformation, AI adoption, and integration capabilities.
• Identify strategic opportunities to improve business outcomes through data‑driven decision making and intelligent automation.
• Partner with business and technology leaders to align investments with enterprise priorities and long‑term growth objectives.
• Lead a portfolio of enterprise data, integration, analytics, and AI initiatives from concept through value realization.
• Establish prioritization frameworks, governance processes, and delivery models that maximize business value.
• Drive program execution, risk management, resource planning, and executive reporting across strategic initiatives.
• Ensure initiatives are delivered successfully while meeting business objectives, quality standards, and financial targets.
• Serve as a trusted advisor to senior business and technology leaders.
• Translate business priorities into technology and analytics strategies that drive measurable outcomes.
• Build strong partnerships across Commercial, Operations, Supply Chain, Finance, Quality, Manufacturing, and R&D organizations.
• Communicate vision, strategy, progress, and business value to executive stakeholders.
• Establish governance frameworks that ensure scalable, secure, compliant, and reusable enterprise solutions.
• Drive adherence to enterprise architecture principles, data governance standards, privacy requirements, and regulatory expectations.
• Promote consistency, standardization, and reuse across enterprise data and integration ecosystems.
• Define and monitor key performance indicators that measure business value, adoption, solution quality, and delivery effectiveness.
• Drive enterprise adoption of advanced analytics, AI, machine learning, and intelligent decision‑support capabilities.
• Identify and prioritize high‑value opportunities that leverage analytics and AI to improve business performance.
• Enable development of modern data products, semantic layers, self‑service analytics, and conversational intelligence solutions.
• Foster innovation through emerging technologies and industry‑leading practices.
• Lead and develop high‑performing global teams consisting of employees, contractors, and strategic partners.
• Create a culture of accountability, innovation, collaboration, and continuous improvement.
• Mentor leaders and team members to strengthen technical, business, and leadership capabilities.
• Develop workforce strategies, succession plans, and talent pipelines to support future organizational needs.
• Establish organizational goals and objectives aligned with broader business and technology strategies.
• Champion inclusion, diversity, equity, and employee engagement across the organization.
• Support portfolio planning, budgeting, investment prioritization, and financial management activities.
• Partner with strategic vendors and technology providers to enable successful execution of business objectives.
• Drive cost optimization and value realization across technology investments and initiatives.

Requirements

• 7+ years of experience with a bachelor’s degree or 5+ years of experience with an advanced degree
• 5+ years of managerial experience
• Bachelor's or Advanced Degree in Computer Science, Information Technology, Data Analytics, Engineering, Business, or a related field.
• 10+ years of experience in Data, Analytics, Integration, AI, or Digital Technology leadership roles.
• 5+ years leading large global teams, managers, and complex strategic programs.
• Experience delivering enterprise data platforms, integration ecosystems, analytics solutions, and AI initiatives.
• Knowledge of modern cloud data, analytics, AI, and integration technologies.
• Experience in MedTech, Healthcare, Life Sciences, or other regulated industries.
• Strong track record of building strategic partnerships and influencing senior leaders.
• Proven ability to drive business transformation through data and analytics.
• Strong communication, organizational leadership, financial management, and stakeholder management skills.
• For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A) is required.