sr. technical program manager.

job summary:
As a Senior Technical Program Manager supporting the Data & Analytics organization, you will lead the planning, execution, and delivery of complex, cross-functional data initiatives that enable enterprise reporting, analytics, AI, governance, and business decision-making.

You will partner closely with Data Engineering, Data Architecture, Analytics, AI, Product, Security, Infrastructure, application teams, implementation partners, and business stakeholders to deliver strategic initiatives spanning enterprise data platforms, data products, governance capabilities, migration efforts, and operational data services.

We are seeking a technically fluent, outcome-oriented program leader who can:

- Facilitate technical working sessions with engineers, architects, product leaders, and business stakeholders.

- Understand data architectures, data flows, lineage, integration patterns, and platform dependencies at a working level.

- Ask probing, technically informed questions; challenge assumptions; and surface hidden delivery risks.

- Establish clarity and accountability across complex stakeholder groups without direct authority.

- Translate technical complexity, trade-offs, and decisions into clear executive communications.

- Drive execution discipline across large, multi-year initiatives from planning through adoption and value realization.

The ideal candidate combines strong program management rigor with hands-on experience supporting enterprise data ecosystems and transformational delivery efforts.

The initial assignment will lead a cross-functional remediation program addressing data privacy, data retention, and test data management, including the governance, process, technology, and operational changes required to establish sustainable compliance and controls.

 
 
location: Newport Beach, California
job type: Solutions
salary: $80 - 90 per hour
work hours: 8am to 5pm
education: Bachelors
 
responsibilities:
Enterprise Data Program Delivery

- Lead complex, multi-year data and analytics initiatives with accountability for end-to-end delivery, business outcomes, and executive visibility.

- Drive delivery across enterprise data platform modernization, shared data services, data products, data governance, metadata management, data quality, data integration, migration, reporting and analytics enablement, and AI/ML foundations.

- Develop and manage integrated program plans, roadmaps, milestones, dependencies, decisions, readiness criteria, adoption measures, and delivery risks.

- Ensure delivery aligns with enterprise data strategy, architecture direction, business priorities, and committed outcomes.

Technical Delivery Leadership

- Partner directly with Data Engineering, Architecture, Analytics, Product, Security, and application teams to understand technical concepts, design decisions, delivery models, dependencies, and operational impacts.

- Validate delivery sequencing, implementation readiness, migration plans, integration approaches, and downstream consumer impacts.

- Engage credibly in discussions involving source ingestion, ETL/ELT pipelines, cloud data platforms, data warehouses and lakehouses, APIs and integrations, data lineage, metadata, data quality, reporting ecosystems, and AI/ML enablement.

- Translate technical discussions into actionable plans, clear ownership, decisions, and executive-ready communications.

Execution Discipline & Program Governance

- Operate effectively within Agile, product-focused, SAFe, and hybrid delivery models while maintaining enterprise-level execution discipline.

- Own scope, schedule, financials, resources, dependencies, risks, issues, decisions, change control, delivery health, and governance for assigned programs.

- Establish clear ownership, drive decisions to closure, challenge readiness assumptions, and proactively address gaps that could affect outcomes.

- Move beyond status collection to active problem-solving, escalation, decision facilitation, and removal of technical or organizational friction.

Data Governance, Quality & Operational Readiness

- Ensure data governance, stewardship, quality, metadata, lineage, security, privacy, retention and disposition, test data management, regulatory, audit, and operational support considerations are integrated into planning and execution.

- Drive clarity on data classification, retention requirements, appropriate use and protection of production data in non-production environments, remediation ownership, control evidence, and long-term operating accountability.

- Partner with data producers and consumers to establish clear internal expectations for data ownership, integration, quality, and consumption.

- Drive migration and cutover readiness, validation, reconciliation, adoption, support-model definition, and sustainable transition into operations.

- Maintain a forward-looking risk view to prevent late discovery of data gaps, unmanaged dependencies, integration issues, or adoption risks.

Cross-Functional Coordination & Dependency Management

- Coordinate delivery across Data Engineering, Analytics, Architecture, Infrastructure, Security, application teams, Product, business stakeholders, and implementation partners.

- Manage dependencies involving source-system readiness, ingestion, platform capabilities, environment availability, migration sequencing, downstream reporting, analytics and AI consumers, and operational support.

- Lead cross-team working sessions to resolve blockers, align priorities, clarify decisions, and maintain delivery momentum.

- Serve as an accountable program leadership point across teams and partners, maintaining continuity even as delivery models or resources change.

Financial, Resource & Partner Management

- Own program-level budget planning, forecasting, variance management, and investment transparency for assigned programs.

- Lead cross-initiative capacity and resource planning for transformational data programs, partnering with Data and Technology leaders to identify constraints, trade-offs, and sequencing impacts. Functional leaders retain accountability for managing their team capacity.

- Manage implementation and delivery partners as strategic contributors, holding them accountable for outcomes, integration quality, committed deliverables, and alignment with enterprise architecture and operating models.

- Partner with platform product owners as they manage software and platform vendor relationships, contracts, and service expectations.

Delivery Health, Executive Reporting & Adoption

- Maintain transparent visibility into delivery progress, financial performance, capacity, risks, dependencies, decisions, and value realization.

- Prepare and deliver executive updates, steering committee materials, governance reporting, and clear recommendations on scope, phasing, investment, and delivery trade-offs.

- Partner with change management, training, communications, Product, and business teams to drive adoption of data platforms, services, products, and new ways of working.

- Define and track measurable outcomes, adoption targets, and success criteria to support sustained value beyond implementation.

#LI-NL1 #LI-Onsite

 
qualifications:
Agile, Snowflake, data integration and governance, reporting and analytics, portfolio management

Job Duties - Enterprise Data Program Delivery

- Lead complex, multi-year data and analytics initiatives with accountability for end-to-end delivery, business outcomes, and executive visibility.

- Drive delivery across enterprise data platform modernization, shared data services, data products, data governance, metadata management, data quality, data integration, migration, reporting and analytics enablement, and AI/ML foundations.

- Develop and manage integrated program plans, roadmaps, milestones, dependencies, decisions, readiness criteria, adoption measures, and delivery risks.

- Ensure delivery aligns with enterprise data strategy, architecture direction, business priorities, and committed outcomes.

Technical Delivery Leadership

- Partner directly with Data Engineering, Architecture, Analytics, Product, Security, and application teams to understand technical concepts, design decisions, delivery models, dependencies, and operational impacts.

- Validate delivery sequencing, implementation readiness, migration plans, integration approaches, and downstream consumer impacts.

- Engage credibly in discussions involving source ingestion, ETL/ELT pipelines, cloud data platforms, data warehouses and lakehouses, APIs and integrations, data lineage, metadata, data quality, reporting ecosystems, and AI/ML enablement.

- Translate technical discussions into actionable plans, clear ownership, decisions, and executive-ready communications.

Execution Discipline & Program Governance

- Operate effectively within Agile, product-focused, SAFe, and hybrid delivery models while maintaining enterprise-level execution discipline.

- Own scope, schedule, financials, resources, dependencies, risks, issues, decisions, change control, delivery health, and governance for assigned programs.

- Establish clear ownership, drive decisions to closure, challenge readiness assumptions, and proactively address gaps that could affect outcomes.

- Move beyond status collection to active problem-solving, escalation, decision facilitation, and removal of technical or organizational friction.

Data Governance, Quality & Operational Readiness

- Ensure data governance, stewardship, quality, metadata, lineage, security, privacy, retention and disposition, test data management, regulatory, audit, and operational support considerations are integrated into planning and execution.

- Drive clarity on data classification, retention requirements, appropriate use and protection of production data in non-production environments, remediation ownership, control evidence, and long-term operating accountability.

- Partner with data producers and consumers to establish clear internal expectations for data ownership, integration, quality, and consumption.

- Drive migration and cutover readiness, validation, reconciliation, adoption, support-model definition, and sustainable transition into operations.

- Maintain a forward-looking risk view to prevent late discovery of data gaps, unmanaged dependencies, integration issues, or adoption risks.

Cross-Functional Coordination & Dependency Management

- Coordinate delivery across Data Engineering, Analytics, Architecture, Infrastructure, Security, application teams, Product, business stakeholders, and implementation partners.

- Manage dependencies involving source-system readiness, ingestion, platform capabilities, environment availability, migration sequencing, downstream reporting, analytics and AI consumers, and operational support.

- Lead cross-team working sessions to resolve blockers, align priorities, clarify decisions, and maintain delivery momentum.

- Serve as an accountable program leadership point across teams and partners, maintaining continuity even as delivery models or resources change.

Financial, Resource & Partner Management

- Own program-level budget planning, forecasting, variance management, and investment transparency for assigned programs.

- Lead cross-initiative capacity and resource planning for transformational data programs, partnering with Data and Technology leaders to identify constraints, trade-offs, and sequencing impacts. Functional leaders retain accountability for managing their team capacity.

- Manage implementation and delivery partners as strategic contributors, holding them accountable for outcomes, integration quality, committed deliverables, and alignment with enterprise architecture and operating models.

- Partner with platform product owners as they manage software and platform vendor relationships, contracts, and service expectations.

Delivery Health, Executive Reporting & Adoption

- Maintain transparent visibility into delivery progress, financial performance, capacity, risks, dependencies, decisions, and value realization.

- Prepare and deliver executive updates, steering committee materials, governance reporting, and clear recommendations on scope, phasing, investment, and delivery trade-offs.

- Partner with change management, training, communications, Product, and business teams to drive adoption of data platforms, services, products, and new ways of working.

- Define and track measurable outcomes, adoption targets, and success criteria to support sustained value beyond implementation.

Job Requirements - Core Program Delivery Experience

- 10+ years of program and project management experience in complex enterprise environments, including leadership of large, multi-workstream technology programs.

- 5+ years of experience delivering data, analytics, data platform, or data transformation initiatives.

- Proven experience leading initiatives across multiple technology teams, business areas, and external delivery partners.

- Experience operating in Agile, product-focused, SAFe, or hybrid delivery environments.

- Demonstrated ownership of program financials, forecasting, capacity planning, governance, and executive reporting.

Data & Analytics Domain Experience

- Working knowledge of enterprise data platforms, cloud data ecosystems, data warehouses, lakehouse concepts, data products, and shared data services.

- Experience leading data risk, privacy, retention, records management, test data management, or other regulatory remediation initiatives involving multiple systems and accountable business and technology owners.

- 3+ years of experience leading or supporting non-production data protection initiatives, including data masking, tokenization, de-identification, synthetic data generation, or comparable controls across development, test, and UAT environments.

- Experience with data integration and ETL/ELT delivery, migration, source-to-target dependencies, reconciliation, and downstream consumption.

- Understanding of data governance, stewardship, quality, metadata, lineage, security, privacy, and operational support models.

- Ability to connect delivery decisions across the end-to-end data lifecycle, from upstream sources through platforms and transformation layers to analytical, financial, actuarial, operational, and AI consumers.

Technical Fluency

- Demonstrated ability to work directly and credibly with engineers, architects, product leaders, security teams, and operations teams.

- Ability to understand platform, integration, data flow, environment, testing, migration, and operational-readiness concepts at a working level.

- Ability to identify technical risks and dependencies, ask informed questions, challenge assumptions, and uncover delivery gaps.

Leadership & Communication

- Strong executive presence, written communication, facilitation, and presentation skills.

- Proven ability to influence without authority, navigate competing priorities, manage conflict constructively, and drive alignment and timely decisions.

- Ability to translate technical concepts, trade-offs, and risks into business outcomes and clear recommendations.

Education & Certifications

- Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field preferred; equivalent experience considered.

- PMP, PgMP, Agile, SAFe, or comparable program/project management certification preferred.

- SnowPro Core Certification, CDMP, DP-900 certification preferred.

Soft Skills

- Strong problem framing, critical thinking, sound judgment, and practical solution development.

- Outcome-oriented ownership with the initiative to move beyond passive coordination and maintain momentum through ambiguity.

- Ability to balance strategic context with detailed execution and to adapt quickly as priorities, dependencies, or delivery conditions change.

- Strong analytical discipline, risk awareness, continuous improvement orientation, and attention to delivery quality.

- Prior experience with a major consulting firm or in a consulting engagement leadership role is a plus.

Tools & Platforms

Experience with the following tools and platforms is preferred. Equivalent enterprise platforms are also relevant:

- Program and portfolio management: Planview

- Agile delivery and work management: Azure DevOps, Jira, or equivalent

- Data platforms: Snowflake or comparable cloud data platform

- Data integration and governance: Informatica, Collibra, or equivalent

- Reporting and analytics: Power BI or equivalent

- Enterprise collaboration and productivity: Microsoft 365, Teams, SharePoint, Excel, PowerPoint

- IT service management and operational readiness: ServiceNow or equivalent

Desired Skills & Experience - - Experience leading large-scale data transformation, cloud data platform, data modernization, or shared data service initiatives.

- Experience delivering data programs that enable analytics, AI, regulatory reporting, financial reporting, actuarial use cases, or enterprise decision-making.

- Experience establishing sustainable privacy-by-design, data retention, disposition, and test data governance practices in complex regulated environments.

- Ability to balance platform buildout with practical migration, integration, adoption, and operational-readiness outcomes.

- Track record of sustaining momentum and value realization across long-running, multi-year transformation programs.

- Financial services or insurance experience, particularly in regulated environments with audit, compliance, privacy, security, and operational resiliency considerations.

- Experience coordinating major systems integrators or implementation partners and holding delivery teams accountable for outcomes.

- Working knowledge of ERP ecosystems and the data dependencies between enterprise platforms and downstream consumers.

#LI-NL1 #LI-Onsite

 
skills:
Agile,AI,large-scale data,cloud data,cloud data platform,Collibra,Analytics,Data Architecture,data architectures,data generation,data governance,data platform,data integration,test data management,Data platforms,data masking,data retention,shared data,data flows,data flow,data transformation,data modernization,data warehouses,enterprise data platforms,ETL,Data Engineering,Information Systems,Computer Science,Jira,Azure DevOps,Excel,PowerPoint,SharePoint,Microsoft 365,operational data,production data,Planview,Power BI,ServiceNow,Snowflake,test data,analytical,Communication,written communication,critical thinking,business decision-making,sound judgment,decision-making,Soft Skills,leadership,executive presence,ability to influence,discipline,strategic initiatives,UAT,financial reporting,actuarial,audit,executive communications,continuous improvement,capacity planning,leadership,PMP,solution development,consulting firm,consulting,data privacy,enterprise reporting,Agile delivery,presentation skills,data products,ecosystems,forecasting,governance,IT service management,Infrastructure,financials,financial,Financial services,operational support,operational readiness,portfolio management,program management,program and project management,PgMP,project management,work management,project management certification,records management,regulatory reporting,executive reporting,use cases,risks,risk awareness,Security,Enterprise collaboration,Technical Fluency,testing


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.