Director Master Data Management (MDM)

Bruker is enabling scientists and engineers to make breakthrough post-genomic discoveries and develop new applications that improve the quality of human life. Bruker's high performance scientific instruments and high value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity, and customer success in post-genomic life science molecular and cell biology research, in applied and biopharma applications, in microscopy, as well as in industrial and cleantech research, and semiconductor metrology in support of AI. Bruker offers differentiated, high-value life science and diagnostics systems and solutions in preclinical imaging, proteomics and multi-omics, spatial and single-cell biology, structural and condensate biology, as well as in clinical microbiology and molecular diagnostics.

New opportunity for an accomplished global data leader with deep expertise in enterprise master data, financial processes, ERP transformation, data quality and governance. The ideal candidate has successfully led complex, global cross-functional data transformation programmes, established sustainable ownership and control frameworks and delivered measurable business outcomes. This role requires strong executive influence, the ability to align competing priorities across functions and regions, and a clear understanding of how master data supports end-to-end finance processes.

Strategy, Operating Model and Portfolio Leadership

• Define and maintain the enterprise financial data strategy, target operating model, capability roadmap and implementation priorities.
• Build and govern a portfolio of master data programs, balancing remediation, risk reduction, business value, system readiness and organizational capacity.
• Establish clear program charters, workstreams, milestones, dependencies, resources, risks and executive decision points.
• Integrate data requirements into business transformation, ERP, e-commerce, revenue, order management, automation, analytics and shared-service initiatives from the outset.

1. Master Data Remediation and Sustainable Quality

• Lead cross-functional profiling, cleansing, enrichment, deduplication, standardization and migration-readiness programs for critical financial data domains.
• Define prioritization criteria based on financial exposure, customer impact, compliance risk, operational disruption and transformation dependency.
• Ensure remediation addresses root causes, not only symptoms, by connecting corrective actions to process design, systems, controls, training and ownership.
• Create repeatable quality controls and monitoring so corrected data remains accurate, complete, timely, consistent and fit for business use.
• Validate results through defined baselines, acceptance criteria and post-implementation monitoring.

1. Governance, Ownership and RACI

• Design and implement the enterprise governance structure for financial-impacting data, including councils, domain forums, stewardship routines and escalation mechanisms.
• Define and document accountable data owners, operational data stewards, producers, consumers, approvers and technology custodians.
• Establish RACI matrices and decision rights for data creation, change approval, quality issue resolution, exception management and standard maintenance.
• Create policies, standards, business definitions, naming conventions, validation rules, control requirements and evidence expectations.
• Ensure governance forums drive decisions and accountability rather than becoming reporting-only meetings.

1. Enterprise Alignment and Executive Influence

• Build alignment across business groups and divisions where priorities, systems, terminology and local practices differ.
• Facilitate executive decisions on enterprise standards, local exceptions, investment, sequencing, risk acceptance and resource commitments.
• Communicate the business case for change in financial, operational, customer, compliance and transformation terms.
• Challenge constructively, surface consequences and maintain momentum when ownership is unclear or decisions are delayed.
• Act as the senior bridge among Finance, GBS, business operations, commercial teams, IT, analytics, controls and transformation leaders.

1. Value Realization, Reporting and Consequence Management

• Define baselines and outcome measures before programs begin, with clear ownership for benefit realization.
• Track and report data quality, defect recurrence, processing efficiency, manual intervention, control performance, adoption, customer impact and financial outcomes.
• Convert program results into concise executive insights, decisions and actions, including benefits achieved, risks remaining and investment required.
• Make the operational and financial consequences of poor data visible, including rework, delays, failed automation, reporting inconsistency, customer disruption, compliance exposure and impaired scalability.
• Escalate missed commitments, unresolved ownership and nonadherence to agreed standards through established governance, with fact-based recommendations and recovery actions.

1. Capability Building and Change Adoption

• Build a sustainable network of data owners, stewards and subject-matter experts across regions, business groups and functions.
• Develop practical training, playbooks and tools that improve data fluency and clarify individual accountability.
• Embed first-time quality, proactive problem solving and continuous improvement into daily operating routines.
• Lead change through strong stakeholder engagement, transparent communication, visible sponsorship and disciplined follow-through.

Perform other duties as required.

• Bachelor Degree in Finance, Accounting, Information Systems, Data Management, Engineering or related discipline. Advanced Degree and Continuing Education preferred.
• Minimum 15 years recent hands-on leadership work experience in enterprise master data management, financial data, ERP transformation, data quality, governance or digital enablement in a complex global life sciences organization.
• Proven work experience operating across global, cross-cultural, and multi-platform environments with success leading large, cross-functional data remediation or transformation programs from strategy through measurable and sustained results.
• Significant work experience establishing data ownership, stewardship, governance forums, policies, standards, RACI models, issue management and quality controls.
• Demonstrated ability to influence executives and senior functional leaders, resolve competing priorities and lead through indirect authority.
• Strong understanding of finance processes and the impact of master data across quote-to-cash, source-to-pay, record-to-report and related enterprise processes.
• Proven ability to quantify business impact and communicate concise executive-level recommendations, performance insights, risks and consequences.
• Hands-on experience working across business groups, divisions, regions and multiple technology platforms; global and cross-cultural leadership experience required.
• Excellent verbal, written, computer, technical, proposal, and interpersonal communication and presentation skills with advanced proficiency with Microsoft 365 and SAP.
• Advanced business acumen and judgment with demonstrated ability to think strategically about business issues.
• Strong global business partnering skills, including high customer support orientation, agility, sense of urgency, and responsiveness
• Proven ability to work effectively in a complex global and matrix work environment, with capability to gain commitment and coordinated action for initiatives.
• Builds and maintains constructive and effective working relationships across the company at all levels and with external parties.
• Demonstrated track record of effective performance management and talent development of staff and future leaders.
• Ability to navigate through complex organizational structures to influence, gain agreement and alignment.
• Possesses the behavioral attributes of the competencies in the Bruker Finance competency model: critical thinking and analysis, business insight, decision making, drive for results, financial expertise, project management and process improvement, people management, collaboration and teamwork, constructive analysis, business partnering, and influence.
• Operates with a high standard of ethics, integrity, and professionalism.
• Ability to satisfactorily complete position training and compliance requirements.
• Ability to maintain current knowledge of company tools, products, and applications.
• English language fluency required; knowledge of additional languages desirable.
• Maintenance of a valid passport with flexibility for frequent overnight global travel.
• May be required to pass security clearance investigation.

At Bruker, the base salary is part of our total compensation. The estimated base salary range for this full-time position is between $151,200.00 and $269,000.00 and provides an opportunity to progress as you grow and develop within a role. The base salary for the role will depend on several job-related factors, including, but not limited to, education, training, experience, the geographic location of the successful candidate, skills, competencies, job-related knowledge, and travel requirements for this position. Full-time employees may also be eligible for a performance-related incentive in addition to a full range of benefits, including 401(k) with company match, an employee stock purchase plan, medical and dental plans, life insurance, short-term and long-term disability insurance, employee assistance program and paid time off including vacation, sick time and holidays, and more.

Bruker is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics.

Certain positions at Bruker require compliance with export control laws and as a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions