Innovation Portfolio & Analytics Manager

Posted Yesterday
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2 Locations
In-Office
133K-250K Annually
Senior level
Biotech
The Role
Leads enterprise R&D portfolio data and analytics capabilities, including data models, pipelines, integrations, applications, dashboards, workflows, and reporting. Partners with R&D, PMO, Finance, and IT stakeholders to improve portfolio decisions, data quality, governance, adoption, and operating practices. Develops insights on strategic alignment, resources, investment, performance, cycle times, and risk using Power BI, Microsoft Fabric, Power Apps, Power Automate, and AI-assisted development.
Summary Generated by Built In
Job Description

Agilent Technologies is seeking a hands-on, technically skilled builder and analyst to strengthen enterprise R&D portfolio management through high-quality data, scalable digital capabilities, and actionable analytics. The role will help leaders make better-informed decisions about project priorities, investment, performance, and risk across business-unit portfolio reviews and enterprise governance forums.

Reporting into the Office of the Chief Technology Officer (CTO), the Innovation Portfolio & Analytics Manager will partner with R&D, PMO, Finance, and IT stakeholders to translate portfolio management needs into effective data, analytics, and digital capabilities. This role offers the opportunity to shape both the digital foundation and the analytical methods used to guide R&D portfolio decisions across Agilent. The successful candidate will combine data and analytics expertise, solution design and implementation leadership, process-improvement capability, and strong stakeholder engagement, while using AI-assisted development to accelerate delivery and improve how portfolio insights are generated and applied.

Key Responsibilities

  • Lead the enterprise R&D portfolio data and analytics capability, guiding requirements, solution design, implementation, adoption, and continuous improvement across internal platforms, commercial portfolio management solutions, or a combination.

  • Partner with divisions to understand portfolio decisions and stakeholder needs, translate them into analytical and reporting requirements, define implementation plans, and support adoption of common enterprise capabilities.

  • Assess portfolio data, reporting, and workflow processes to identify improvement opportunities and implement scalable digital workflows that improve efficiency, transparency, consistency, and decision support.

  • Design, develop, and continuously enhance scalable data models, integrations, pipelines, applications, and dashboards using Power BI, Microsoft Fabric, Power Apps, and Power Automate, in partnership with IT architecture and platform teams.

  • Develop portfolio analytics and reporting that assess strategic alignment; reveal trends and variances; evaluate portfolio composition and balance, resource capacity, investment and value; measure project cycle times and milestone adherence; and support proactive risk flagging and mitigation.

  • Coordinate data readiness and prepare analytical content for enterprise portfolio reviews, ensuring accurate, timely information and translating results into clear performance insights, implications, options, and recommendations.

  • Define and continuously improve enterprise standards for portfolio data, metrics, reporting, and supporting digital workflows; coordinate validation, issue resolution, and data-quality improvement with divisional PMOs and other data contributors.

  • Establish sustainable operating and adoption practices including testing, releases, documentation, access management, platform performance, training, communication, user support, and ongoing enhancement.

  • Apply AI-assisted development and automation to accelerate data modeling, application development, testing, documentation, analytics, and workflow execution.

Qualifications

Education & Experience

  • Bachelor's degree in science, engineering, information systems, data/analytics, computer science, or a related field required.

  • Typically 8+ years of relevant experience, or an equivalent combination of education and experience, in business intelligence, analytics development, data solutions, portfolio systems, or related roles.

  • Demonstrated knowledge of project portfolio management principles and practices, including how project priorities, strategic alignment, schedules, resources, financials, risks, and performance measures inform portfolio decisions.

  • Demonstrated experience designing, building, deploying, and supporting analytics solutions, including data models, pipelines, integrations, applications, dashboards, and production support practices.

  • Hands-on proficiency in Power BI, including data schemas, semantic modeling, and DAX; Microsoft Fabric; Power Apps; Power Automate; and advanced Excel modeling.

  • Working proficiency in SQL for data extraction, transformation, validation, and troubleshooting required; experience with Python or another scripting language and ERP-sourced data, such as SAP, preferred.

  • Experience developing solutions within enterprise IT architecture, security, governance, and compliance frameworks.

  • Experience analyzing, documenting, and improving data, reporting, or portfolio-related business processes, including workflow automation and continuous improvement.

  • Experience driving adoption of new data processes, digital tools, and reporting capabilities through stakeholder engagement, training, communication, and user support.

  • Experience implementing, administering, configuring, or serving as a business product owner for a commercial project portfolio management platform, such as Planisware, Planview, Clarity, or a comparable enterprise PPM solution, preferred.

  • Working knowledge of industrial R&D environments required; experience in life sciences, analytical instrumentation, chemicals, medical technology, or related industries preferred.

Required Skills & Competencies

  • Technical problem solving: ability to diagnose complex data and platform issues and develop scalable, maintainable solutions.

  • Portfolio analytics and constructive challenge: ability to frame important portfolio questions, test assumptions, identify meaningful patterns and trade-offs, and translate complex data into intuitive visualizations, clear implications, and actionable recommendations.

  • Capability and process leadership: ability to translate stakeholder needs into practical requirements, implementation plans, improved workflows, and sustainable operating practices.

  • AI-enabled development: demonstrated use of AI-assisted development tools to improve speed, quality, and scalability; experience implementing automated or agent-enabled workflows in an enterprise environment preferred.

  • Influence and collaboration: ability to build alignment and drive adoption across a global, matrixed organization without direct authority.

  • Quality and accountability: high attention to detail, disciplined follow-through, and sound judgment in resolving data and platform issues.

Additional Details

This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least August 28, 2026 or until the job is no longer posted.

The full-time equivalent pay range for this position is $133,120.00 - $249,600.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations

Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email [email protected] or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: 10% of the TimeShift: DayDuration: No End DateJob Function: R&D

Skills Required

  • Bachelor's degree in science, engineering, information systems, data or analytics, computer science, or a related field
  • Typically 8 or more years of relevant experience in business intelligence, analytics development, data solutions, portfolio systems, or related roles
  • Knowledge of project portfolio management principles and practices
  • Experience designing, building, deploying, and supporting analytics solutions, including data models, pipelines, integrations, applications, dashboards, and production support
  • Hands-on proficiency in Power BI, including data schemas, semantic modeling, and DAX
  • Working proficiency in Microsoft Fabric, Power Apps, Power Automate, and advanced Excel modeling
  • Working proficiency in SQL for data extraction, transformation, validation, and troubleshooting
  • Experience developing solutions within enterprise IT architecture, security, governance, and compliance frameworks
  • Experience analyzing, documenting, and improving data, reporting, or portfolio-related business processes
  • Experience driving adoption of data processes, digital tools, and reporting capabilities through stakeholder engagement, training, communication, and user support
  • Working knowledge of industrial R&D environments
  • Experience with Python or another scripting language and ERP-sourced data such as SAP
  • Experience implementing, administering, configuring, or serving as business product owner for a commercial project portfolio management platform such as Planisware, Planview, Clarity, or comparable enterprise PPM solution
  • Experience in life sciences, analytical instrumentation, chemicals, medical technology, or related industries
  • Demonstrated use of AI-assisted development tools to improve speed, quality, and scalability
  • Experience implementing automated or agent-enabled workflows in an enterprise environment

Agilent Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Agilent Technologies and has not been reviewed or approved by Agilent Technologies.

  • Retirement Support The core U.S. package highlights a generous 401(k) match as a strength. Retirement programs are positioned as competitive within the company’s total rewards.
  • Equity Value & Accessibility An Employee Stock Purchase Plan at a discount provides accessible equity and augments total compensation. Ownership opportunities are presented as a notable advantage alongside retirement benefits.
  • Leave & Time Off Breadth Flexible Time Off, company holidays, a personal holiday, and paid volunteer time create a broad leave offering. Time off can accrue into multiple weeks in the first year, supporting flexibility.

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The Company
HQ: Santa Clara, CA
17,369 Employees
Year Founded: 1999

What We Do

Analytical scientists and clinical researchers worldwide rely on Agilent to help fulfill their most complex laboratory demands. Our instruments, software, services and consumables address the full range of scientific and laboratory management needs—so our customers can do what they do best: improve the world around us. Whether a laboratory is engaged in environmental testing, academic research, medical diagnostics, pharmaceuticals, petrochemicals or food testing, Agilent provides laboratory solutions to meet their full spectrum of needs. We work closely with customers to help address global trends that impact human health and the environment, and to anticipate future scientific needs. Our solutions improve the efficiency of the entire laboratory, from sample prep to data interpretation and management. Customers trust Agilent for solutions that enable insights...for a better world.

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