The Position  We advance science so that we all have more time with the people we love.
The Opportunity
As the Global Head of Data Management, you will provide strategic leadership and oversight across Data Management, ensuring a cohesive and high-performing Data Management function that drives excellence in service of our strategy through effective management, delivery, and governance of data assets with the highest standards of quality and compliance. You will be accountable for all clinical data management responsibilities across development, including driving excellence in resourcing, technologies, and processes supporting all trials at Roche. You will report to the Global Head, PD Data Sciences & Analytics (PD-DSA), and you will be responsible for shaping the strategy for data management modernization across data modalities, therapy areas, countries, and technology platforms.
You will lead a global, high-performing organization of approximately 250-300 Data Management professionals and external partners to support Roche development. Your direct reports will include senior leaders. Sitting on the PD-DSA leadership team, you will collaborate with senior leaders in PD-DSA and beyond to influence and contribute to the overall strategy and success of early and late stage development programs at Roche.
PD-DSA SHARED LEADERSHIP OBJECTIVES
Develop and set a clear PD-DSA strategy and goals that align with Roche's broader objectives, ensuring that you integrate Roche's One Pharma strategy, PD goals, and R&D Excellence methods into the strategic direction

Embed and drive the adoption of PD-DSA's strategic imperatives of Data, Digital/AI, and Design (the 3Ds) across your teams' workflows, taking ownership of this mindset shift to ensure a seamless integration of these principles into daily operations

Act as a role model for your teams by delivering excellence in all aspects of your work (what you do, how you do it, and the impact you have), fostering a culture of learning, growth, and continuous improvement that empowers team members to reach their potential

Define and create clear accountability across each function in your organization and beyond, ensuring that you work in lock-step with your colleagues and partners to maintain alignment and drive cross-functional collaboration

Leadership and Strategy
Provide strategic leadership and oversight for global data management teams across five therapeutic areas and focused on technological improvement to enable high quality data management

Develop and implement a comprehensive global Data Management strategy that aligns with Roche's research and development objectives

Effectively oversee all data management delivery across internal teams and external vendors for late-stage development

Partner with cross-functional leaders to align data management capabilities with evolving business needs and scientific priorities. Actively contribute to enterprise-wide initiatives that establish data as a strategic asset within the company and the broader industry

Evaluate challenges as they arise and develop innovative solutions for teams to execute to drive excellence across all metrics

Stakeholder Engagement and Partnerships
Act as the primary liaison between the Data Management function and key stakeholders across Early Development, Clinical, Regulatory, and Data Science teams to drive alignment and shape outcomes for shared objectives

Collaborate with Early Development Biometrics and teams across early development to support data management efforts in early trials

Partner closely with PD-DSA Early Development Biometrics to enable seamless transition of assets from early to late development

Support and represent data management at global cross-functional leadership meetings and industry leadership forums, fostering relationships with external vendors and collaborators to advance data management standards and practices

Build and maintain strong partnerships with global stakeholders, including clinical trial teams, data scientists, informatics, and external partners

Ensure seamless collaboration between Data Management and internal teams across Roche

Data Excellence and Quality
Ensure global practices and standards are aligned with internal and international regulatory guidelines, with a focus on measurable outcomes for compliance and data quality

Oversee data governance processes, ensuring data assets are curated, maintained, and shared responsibly, with clear metrics to track performance

Drive continuous improvement by partnering closely with the Digital Endpoints & Patient Centered Solutions function to embed innovative solutions (e.g., direct EMR to eDC), automate workflows (e.g., quality checks, site queries, data validation), and implement end-to-end ML-driven solutions

Develop and execute strategies to optimize processes and reduce data movement and rework through innovative systems and solutions (e.g., direct data from Electronic Medical Records (EMR), eDC Electronic Data Capture (EDC), electronic Data Collection (eDC), etc.)

Talent Development
Lead, inspire, and develop a high-performing global team of Data Management professionals, ensuring their continued professional growth and ability to drive strategic impact

Establish a strong culture of accountability, innovation, and continuous learning within the Data Management function

Define clear performance metrics and success criteria for the Data Management function, ensuring alignment with organizational goals

Partner with P&C and leadership to attract, retain, and develop top data management talent to support long-term organizational success

Who You Are     MSc, PhD, or other advanced degree in Data Sciences, Statistics, Mathematics or related area

Minimum 15 years experience (significant experience working at a senior level) in the pharmaceutical/biotech industry with an emphasis in data management

Strong Computer Science skills and proficiency in data management tools and software (e.g., EDC systems, CDISC standards)

Demonstrated success in a senior leadership role

Knowledge of GCP, international and in-country regulations, guidelines and their application, and all other applicable compliance standards

Thorough understanding of the overall drug development process, with a particular expertise in data management conventions, standards and processes

Experience with all relevant data types (e.g., multi-modal data)

Track record of establishing successful partnerships with relevant partner organizations and able to act as an ambassador for Roche

Influential and confident communicator

Proven experience in leading and managing high-performing teams

Willingness to adopt new technologies and methodologies, in-depth experience in AI and digital advancements

Strong English language skills

International travel as required - estimated at 20%

Relocation benefits are available for this job posting.
The expected salary range for this position based on the primary location of South San Francisco, CA is $271,500 - $504,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.

Our Company

Oaktree is a leader among global investment managers specializing in alternative investments, with $205 billion in assets under management as of December 31, 2024. The firm emphasizes an opportunistic, value-oriented, and risk-controlled approach to investments in credit, private equity, real assets, and listed equities. The firm has over 1200 employees and offices in 23 cities worldwide.

We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture.

For additional information please visit our website at www.oaktreecapital.com

Responsibilities

As the Head of Data Engineering & Architecture within Oaktree's Information Solutions team, you will play a pivotal role in shaping and delivering innovative data solutions that drive competitive differentiation. Leveraging your expertise in technology, leadership, and industry trends, you will design and implement scalable, reusable, and trusted data assets to empower decision-making and operational efficiency across the firm. This role requires a visionary leader with a proven ability to address complex, multi-dimensional data challenges. You will partner closely with stakeholders across Investment, Technology, Operations, and Risk & Reporting teams to develop cohesive data solutions that align with Oaktree's strategic objectives and advance our commitment to data excellence.

Responsibilities include:
Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities.
Roll out a data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools and data architecture.
Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company's principal information assets.
Design a data engineering roadmap and execute the vision behind it.
Oversee the movement of large amounts of data into our data lake.
Define and execute a comprehensive data strategy aligned with Oaktree's business objectives, delivering measurable ROI.
Lead the vision, development, and delivery of scalable, reusable, and trusted data products to meet cross-functional needs.
Partner with stakeholders to ensure data solutions enable decision-making, operational efficiency, and long-term value.
Technical Responsibilities:    Manage a team of data engineers and architects to build modern tech solutions in Azure tech stack.
Architect, design, and implement a robust and scalable data architecture on Microsoft Azure to support Oaktree's investment data management needs.
Oversee the development and maintenance of data pipelines using Azure Data Factory, orchestrating data ingestion, transformation, and loading processes across various sources.
Utilize Azure Databricks or similar Azure tech stack to build and manage data processing and analytics workloads, leveraging Apache Spark for large-scale data transformations.
Design and implement data warehousing solutions using Azure Synapse Analytics, enabling efficient storage, analysis, and reporting on vast amounts of investment data.
Optimize data storage strategies across Azure Data Lake Storage, Azure SQL Database, and Synopse, ensuring data security, integrity, and cost-effectiveness.
Collaborate with data scientists to implement Azure Machine Learning and AI solutions, driving insights from investment data and enhancing decision-making processes.
Establish and enforce data governance policies and procedures, including data quality management, metadata management, and data lineage tracking within the Azure environment.
Collaborate with and communicate current state and future state architectures with the stakeholders.
Stakeholder and partner management.
Qualifications     Bachelor's degree in Computer Science, Finance, or other relevant discipline.
15+ years of experience in data and analytics space and 10+ years of experience in job specific work.
Knowledge of the asset management industry and asset classes to bridge business and technology for data solutions.
Strong understanding of key data concepts (e.g., Portfolio Construction, Security/Account Reference data, AUM, Investment Results/Attribution, Index/Benchmark).
Experience with industry data (e.g., Bloomberg, FactSet, Morningstar, ESG, Index, alternative data).
Hands-on experience with data warehouse, data lake, and cloud solutions, collaborating with data engineering teams.
Personal Attributes      Relationship Building ; works effectively with strong, diverse teams of people with multiple perspectives, talents, and backgrounds. He or she is known for doing what is best irrespective of politics and is comfortable with consensus building (at multiple levels) and soliciting constructive feedback; ability to elicit cooperation from a wide variety of participants including upper management, clients, other departments, and 3rd party providers.
Communication ; strong interpersonal and verbal/written communication skills; ability to present complex material.
Independence & Collaboration ; experience at working both independently and in a team-oriented, collaborative environment; must be able to drive work effectively with limited supervision (at times) while representing department and executive management interests and concerns.
Work Ethic ; focus on continual development, performance, accountability, and self-motivation.
Flexibility & Organization ; adapt to shifting priorities, demands and timelines through analytical and problem-solving capabilities; proven ability to multi-task and efficiently manage time across competing activities/resources; able to effectively prioritize, execute tasks, and thrive in a high-pressure fast paced environment.
Intellectual Curiosity ; energized by learning new things and engaging across a wide range of issues; must have strong problem solving skills; understand the importance of attention to detail, adept at conducting research into project-related issues and products; displays a technical aptitude that lends itself to learning and mastering new technologies.
Driving Results ; sets aggressive timelines and objectives to drive results, conveys a sense of urgency, and drives issues to closure; is a self-starter committed to achieving results and has a strong sense of ownership and follow-through.
Judgment ; makes recommendations and decisions that balance a variety of factors.

Education

Bachelor's degree in Computer Science, Finance, or other relevant discipline.

Base Salary Range

$225,000 - $250,000

In addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives, a comprehensive benefits package and a flexible work arrangement. The base salary offered will be commensurate with experience and/or qualifications, industry knowledge and expertise, as well as prior training and education.

Equal Opportunity Employment Policy

Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources.

For positions based in Los Angeles

For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.

Our Company
Oaktree is a leader among global investment managers specializing in alternative investments, with $205 billion in assets under management as of December 31, 2024. The firm emphasizes an opportunistic, value-oriented, and risk-controlled approach to investments in credit, private equity, real assets, and listed equities. The firm has over 1200 employees and offices in 23 cities worldwide.
We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture.
For additional information please visit our website at www.oaktreecapital.com
Responsibilities
As the Head of Data Engineering & Architecture within Oaktree's Information Solutions team, you will play a pivotal role in shaping and delivering innovative data solutions that drive competitive differentiation. Leveraging your expertise in technology, leadership, and industry trends, you will design and implement scalable, reusable, and trusted data assets to empower decision-making and operational efficiency across the firm. This role requires a visionary leader with a proven ability to address complex, multi-dimensional data challenges. You will partner closely with stakeholders across Investment, Technology, Operations, and Risk & Reporting teams to develop cohesive data solutions that align with Oaktree's strategic objectives and advance our commitment to data excellence.
Responsibilities include:
Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities.
Roll out a data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools and data architecture.
Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company’s principal information assets.
Design a data engineering roadmap and execute the vision behind it.
Oversee the movement of large amounts of data into our data lake.
Define and execute a comprehensive data strategy aligned with Oaktree’s business objectives, delivering measurable ROI.
Lead the vision, development, and delivery of scalable, reusable, and trusted data products to meet cross-functional needs.
Partner with stakeholders to ensure data solutions enable decision-making, operational efficiency, and long-term value.
Technical Responsibilities:
Manage a team of data engineers and architects to build modern tech solutions in Azure tech stack.
Architect, design, and implement a robust and scalable data architecture on Microsoft Azure to support Oaktree's investment data management needs.
Oversee the development and maintenance of data pipelines using Azure Data Factory, orchestrating data ingestion, transformation, and loading processes across various sources.
Utilize Azure Databricks or similar Azure tech stack to build and manage data processing and analytics workloads, leveraging Apache Spark for large-scale data transformations.
Design and implement data warehousing solutions using Azure Synapse Analytics, enabling efficient storage, analysis, and reporting on vast amounts of investment data.
Optimize data storage strategies across Azure Data Lake Storage, Azure SQL Database, and Synapse, ensuring data security, integrity, and cost-effectiveness.
Collaborate with data scientists to implement Azure Machine Learning and AI solutions, driving insights from investment data and enhancing decision-making processes.
Establish and enforce data governance policies and procedures, including data quality management, metadata management, and data lineage tracking within the Azure environment.
Collaborate with and communicate current state and future state architectures with the stakeholders.
Stakeholder and partner management.
Qualifications
Bachelor’s degree in Computer Science, Finance, or other relevant discipline.
15+ years of experience in data and analytics space and 10+ years of experience in job specific work.
Knowledge of the asset management industry and asset classes to bridge business and technology for data solutions.
Strong understanding of key data concepts (e.g., Portfolio Construction, Security/Account Reference data, AUM, Investment Results/Attribution, Index/Benchmark).
Experience with industry data (e.g., Bloomberg, FactSet, Morningstar, ESG, Index, alternative data).
Hands-on experience with data warehouse, data lake, and cloud solutions, collaborating with data engineering teams.
Personal Attributes
Relationship Building : works effectively with strong, diverse teams of people with multiple perspectives, talents, and backgrounds. He or she is known for doing what is best irrespective of politics and is comfortable with consensus building (at multiple levels) and soliciting constructive feedback; ability to elicit cooperation from a wide variety of participants including upper management, clients, other departments, and 3rd party providers.
Communication : strong interpersonal and verbal/written communication skills; ability to present complex material.
Independence & Collaboration : experience at working both independently and in a team-oriented, collaborative environment; must be able to drive work effectively with limited supervision (at times) while representing department and executive management interests and concerns.
Work Ethic : focus on continual development, performance, accountability, and self-motivation.
Flexibility & Organization : adapt to shifting priorities, demands and timelines through analytical and problem-solving capabilities; proven ability to multi-task and efficiently manage time across competing activities/resources; able to effectively prioritize, execute tasks, and thrive in a high-pressure fast paced environment.
Intellectual Curiosity : energized by learning new things and engaging across a wide range of issues; must have strong problem-solving skills; understand the importance of attention to detail, adept at conducting research into project-related issues and products; displays a technical aptitude that lends itself to learning and mastering new technologies.
Driving Results : sets aggressive timelines and objectives to drive results, conveys a sense of urgency, and drives issues to closure; is a self-starter committed to achieving results and has a strong sense of ownership and follow-through.
Judgment : makes recommendations and decisions that balance a variety of factors.
Education
Bachelor’s degree in Computer Science, Finance, or other relevant discipline.
Base Salary Range
$225,000 - $250,000
In addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives, a comprehensive benefits package and a flexible work arrangement. The base salary offered will be commensurate with experience and/or qualifications, industry knowledge and expertise, as well as prior training and education.
Equal Opportunity Employment Policy
Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources.
For positions based in Los Angeles
For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law. #J-18808-Ljbffr

Head of Data Jobs in Los Angeles, CA

Global Head Of Data Management
March 13, 2025

Senior Vice President Head Of Data Engineering Architecture
February 25, 2025

Senior Vice President Head Of Data Engineering Architecture
February 23, 2025

Quick filters

Top companies

Head of Data Jobs in Los Angeles, CA

Global Head Of Data ManagementMarch 13, 2025

Senior Vice President Head Of Data Engineering ArchitectureFebruary 25, 2025

Senior Vice President Head Of Data Engineering ArchitectureFebruary 23, 2025

Quick filters

Top companies

Global Head Of Data Management
March 13, 2025

Senior Vice President Head Of Data Engineering Architecture
February 25, 2025

Senior Vice President Head Of Data Engineering Architecture
February 23, 2025