Staff Technical Program Manager, Data Infrastructure
Instacart
Staff Technical Program Manager, Data Infrastructure
Job Description
Responsibilities
- Drive the strategy, planning, and execution of high-impact programs for data platforms and infrastructure, balancing the needs of internal practitioners (engineers, analysts, data scientists) with external use cases like data monetization and hyper-personalization.
- Act as the owner and primary driver of key initiatives to evolve Instacart’s data catalog, experimentation platform, and frameworks for data governance, self-service pipelines, and monitoring.
- Partner closely with data practitioners to deeply understand workflows, pain points, and tools that accelerate productivity, enabling a forward-looking roadmap for internal data tools.
- Collaborate with cross-functional teams to define and deliver scalable platforms for external data monetization, ensuring robust governance, compliance, and dataset quality.
- Be instrumental in integrating AI into the data platform, identifying opportunities where AI enhances internal productivity or empowers external product experiences.
- Own clear and effective communication with stakeholders at all levels, ensuring alignment and transparency on program scope, progress, risks, and trade-offs.
- Define and drive the adoption of frameworks, metrics, and processes for prioritizing work, measuring success, and ensuring alignment between business value and technical investments.
- Advocate for and implement data governance solutions that ensure scalability, compliance, and ethical use of data assets for internal and externally facing initiatives.
- Work with stakeholders across the company to enable maximum value realization from the existing tech stack while identifying opportunities for innovation and efficiency.
- Drive clarity and remove ambiguity in areas of high complexity, ensuring forward progress on critical business priorities.
Required Qualifications
- 10+ years of post-graduation experience in a technology field, including roles such as technical program manager, engineering manager, product manager, or software engineer within a data-heavy or technical space.
- Proven experience leading end-to-end programs in the design, development, and deployment of data platforms, tools, and pipelines.
- Demonstrated ability to manage complex programs involving internal tooling for data practitioners and external-facing data initiatives, including integration with AI/ML solutions.
- Expertise in navigating the intersection of engineering and business needs, with the ability to prioritize technical feasibility alongside user impact.
- Strong familiarity with data ecosystems, including data infrastructure, cataloging, experimentation platforms, governance frameworks, and scalable architecture.
- Skilled communicator adept at delivering detailed artifacts and tracking plans for engineering teams while simultaneously upleveling to executive-level summaries.
- Experience working hands-on with cross-functional teams, including product management, data engineering, and data science, to align on vision and execution.
- Passionate about unlocking the full potential of data platforms and delivering tools that empower data practitioners to work efficiently and effectively.
- Bachelor’s degree or greater in a technology or engineering discipline.
Preferred Qualifications
- Master’s degree in a relevant technical field.
- Experience delivering data infrastructure solutions for both internal and external customers in a high-growth environment.
- Understanding of AI/ML technologies and a track record of facilitating their integration into data-related programs.
- Demonstrated success advocating for and driving the adoption of governance, data quality, and compliance frameworks for scalable infrastructure.
- Strong technical acumen in areas like data architecture and pipelines, paired with the ability to influence both technical and non-technical stakeholders at all levels.
Required Skills
- technical program management
- data platforms
- data infrastructure
- data pipelines
- AI/ML integration
- data governance
- data cataloging
- experimentation platforms
- cross-functional collaboration
- stakeholder communication
- data architecture
- engineering leadership
Benefits
- Flex First remote work policy
- Highly market-competitive compensation
- New hire equity grant
- Annual refresh grants
Salary Range
$194000 - $260000 USD
Locations
- United States, United States (Remote)
Salary
194,000 - 260,000 USD / yearly
Skills Required
- technical program managementintermediate
- data platformsintermediate
- data infrastructureintermediate
- data pipelinesintermediate
- AI/ML integrationintermediate
- data governanceintermediate
- data catalogingintermediate
- experimentation platformsintermediate
- cross-functional collaborationintermediate
- stakeholder communicationintermediate
- data architectureintermediate
- engineering leadershipintermediate
Required Qualifications
- 10+ years of post-graduation experience in a technology field, including roles such as technical program manager, engineering manager, product manager, or software engineer within a data-heavy or technical space. (experience)
- Proven experience leading end-to-end programs in the design, development, and deployment of data platforms, tools, and pipelines. (experience)
- Demonstrated ability to manage complex programs involving internal tooling for data practitioners and external-facing data initiatives, including integration with AI/ML solutions. (experience)
- Expertise in navigating the intersection of engineering and business needs, with the ability to prioritize technical feasibility alongside user impact. (experience)
- Strong familiarity with data ecosystems, including data infrastructure, cataloging, experimentation platforms, governance frameworks, and scalable architecture. (experience)
- Skilled communicator adept at delivering detailed artifacts and tracking plans for engineering teams while simultaneously upleveling to executive-level summaries. (experience)
- Experience working hands-on with cross-functional teams, including product management, data engineering, and data science, to align on vision and execution. (experience)
- Passionate about unlocking the full potential of data platforms and delivering tools that empower data practitioners to work efficiently and effectively. (experience)
- Bachelor’s degree or greater in a technology or engineering discipline. (experience)
Preferred Qualifications
- Master’s degree in a relevant technical field. (experience)
- Experience delivering data infrastructure solutions for both internal and external customers in a high-growth environment. (experience)
- Understanding of AI/ML technologies and a track record of facilitating their integration into data-related programs. (experience)
- Demonstrated success advocating for and driving the adoption of governance, data quality, and compliance frameworks for scalable infrastructure. (experience)
- Strong technical acumen in areas like data architecture and pipelines, paired with the ability to influence both technical and non-technical stakeholders at all levels. (experience)
Responsibilities
- Drive the strategy, planning, and execution of high-impact programs for data platforms and infrastructure, balancing the needs of internal practitioners (engineers, analysts, data scientists) with external use cases like data monetization and hyper-personalization.
- Act as the owner and primary driver of key initiatives to evolve Instacart’s data catalog, experimentation platform, and frameworks for data governance, self-service pipelines, and monitoring.
- Partner closely with data practitioners to deeply understand workflows, pain points, and tools that accelerate productivity, enabling a forward-looking roadmap for internal data tools.
- Collaborate with cross-functional teams to define and deliver scalable platforms for external data monetization, ensuring robust governance, compliance, and dataset quality.
- Be instrumental in integrating AI into the data platform, identifying opportunities where AI enhances internal productivity or empowers external product experiences.
- Own clear and effective communication with stakeholders at all levels, ensuring alignment and transparency on program scope, progress, risks, and trade-offs.
- Define and drive the adoption of frameworks, metrics, and processes for prioritizing work, measuring success, and ensuring alignment between business value and technical investments.
- Advocate for and implement data governance solutions that ensure scalability, compliance, and ethical use of data assets for internal and externally facing initiatives.
- Work with stakeholders across the company to enable maximum value realization from the existing tech stack while identifying opportunities for innovation and efficiency.
- Drive clarity and remove ambiguity in areas of high complexity, ensuring forward progress on critical business priorities.
Benefits
- general: Flex First remote work policy
- general: Highly market-competitive compensation
- general: New hire equity grant
- general: Annual refresh grants
Tags & Categories
Staff Technical Program Manager, Data Infrastructure
Instacart
Staff Technical Program Manager, Data Infrastructure
Job Description
Responsibilities
- Drive the strategy, planning, and execution of high-impact programs for data platforms and infrastructure, balancing the needs of internal practitioners (engineers, analysts, data scientists) with external use cases like data monetization and hyper-personalization.
- Act as the owner and primary driver of key initiatives to evolve Instacart’s data catalog, experimentation platform, and frameworks for data governance, self-service pipelines, and monitoring.
- Partner closely with data practitioners to deeply understand workflows, pain points, and tools that accelerate productivity, enabling a forward-looking roadmap for internal data tools.
- Collaborate with cross-functional teams to define and deliver scalable platforms for external data monetization, ensuring robust governance, compliance, and dataset quality.
- Be instrumental in integrating AI into the data platform, identifying opportunities where AI enhances internal productivity or empowers external product experiences.
- Own clear and effective communication with stakeholders at all levels, ensuring alignment and transparency on program scope, progress, risks, and trade-offs.
- Define and drive the adoption of frameworks, metrics, and processes for prioritizing work, measuring success, and ensuring alignment between business value and technical investments.
- Advocate for and implement data governance solutions that ensure scalability, compliance, and ethical use of data assets for internal and externally facing initiatives.
- Work with stakeholders across the company to enable maximum value realization from the existing tech stack while identifying opportunities for innovation and efficiency.
- Drive clarity and remove ambiguity in areas of high complexity, ensuring forward progress on critical business priorities.
Required Qualifications
- 10+ years of post-graduation experience in a technology field, including roles such as technical program manager, engineering manager, product manager, or software engineer within a data-heavy or technical space.
- Proven experience leading end-to-end programs in the design, development, and deployment of data platforms, tools, and pipelines.
- Demonstrated ability to manage complex programs involving internal tooling for data practitioners and external-facing data initiatives, including integration with AI/ML solutions.
- Expertise in navigating the intersection of engineering and business needs, with the ability to prioritize technical feasibility alongside user impact.
- Strong familiarity with data ecosystems, including data infrastructure, cataloging, experimentation platforms, governance frameworks, and scalable architecture.
- Skilled communicator adept at delivering detailed artifacts and tracking plans for engineering teams while simultaneously upleveling to executive-level summaries.
- Experience working hands-on with cross-functional teams, including product management, data engineering, and data science, to align on vision and execution.
- Passionate about unlocking the full potential of data platforms and delivering tools that empower data practitioners to work efficiently and effectively.
- Bachelor’s degree or greater in a technology or engineering discipline.
Preferred Qualifications
- Master’s degree in a relevant technical field.
- Experience delivering data infrastructure solutions for both internal and external customers in a high-growth environment.
- Understanding of AI/ML technologies and a track record of facilitating their integration into data-related programs.
- Demonstrated success advocating for and driving the adoption of governance, data quality, and compliance frameworks for scalable infrastructure.
- Strong technical acumen in areas like data architecture and pipelines, paired with the ability to influence both technical and non-technical stakeholders at all levels.
Required Skills
- technical program management
- data platforms
- data infrastructure
- data pipelines
- AI/ML integration
- data governance
- data cataloging
- experimentation platforms
- cross-functional collaboration
- stakeholder communication
- data architecture
- engineering leadership
Benefits
- Flex First remote work policy
- Highly market-competitive compensation
- New hire equity grant
- Annual refresh grants
Salary Range
$194000 - $260000 USD
Locations
- United States, United States (Remote)
Salary
194,000 - 260,000 USD / yearly
Skills Required
- technical program managementintermediate
- data platformsintermediate
- data infrastructureintermediate
- data pipelinesintermediate
- AI/ML integrationintermediate
- data governanceintermediate
- data catalogingintermediate
- experimentation platformsintermediate
- cross-functional collaborationintermediate
- stakeholder communicationintermediate
- data architectureintermediate
- engineering leadershipintermediate
Required Qualifications
- 10+ years of post-graduation experience in a technology field, including roles such as technical program manager, engineering manager, product manager, or software engineer within a data-heavy or technical space. (experience)
- Proven experience leading end-to-end programs in the design, development, and deployment of data platforms, tools, and pipelines. (experience)
- Demonstrated ability to manage complex programs involving internal tooling for data practitioners and external-facing data initiatives, including integration with AI/ML solutions. (experience)
- Expertise in navigating the intersection of engineering and business needs, with the ability to prioritize technical feasibility alongside user impact. (experience)
- Strong familiarity with data ecosystems, including data infrastructure, cataloging, experimentation platforms, governance frameworks, and scalable architecture. (experience)
- Skilled communicator adept at delivering detailed artifacts and tracking plans for engineering teams while simultaneously upleveling to executive-level summaries. (experience)
- Experience working hands-on with cross-functional teams, including product management, data engineering, and data science, to align on vision and execution. (experience)
- Passionate about unlocking the full potential of data platforms and delivering tools that empower data practitioners to work efficiently and effectively. (experience)
- Bachelor’s degree or greater in a technology or engineering discipline. (experience)
Preferred Qualifications
- Master’s degree in a relevant technical field. (experience)
- Experience delivering data infrastructure solutions for both internal and external customers in a high-growth environment. (experience)
- Understanding of AI/ML technologies and a track record of facilitating their integration into data-related programs. (experience)
- Demonstrated success advocating for and driving the adoption of governance, data quality, and compliance frameworks for scalable infrastructure. (experience)
- Strong technical acumen in areas like data architecture and pipelines, paired with the ability to influence both technical and non-technical stakeholders at all levels. (experience)
Responsibilities
- Drive the strategy, planning, and execution of high-impact programs for data platforms and infrastructure, balancing the needs of internal practitioners (engineers, analysts, data scientists) with external use cases like data monetization and hyper-personalization.
- Act as the owner and primary driver of key initiatives to evolve Instacart’s data catalog, experimentation platform, and frameworks for data governance, self-service pipelines, and monitoring.
- Partner closely with data practitioners to deeply understand workflows, pain points, and tools that accelerate productivity, enabling a forward-looking roadmap for internal data tools.
- Collaborate with cross-functional teams to define and deliver scalable platforms for external data monetization, ensuring robust governance, compliance, and dataset quality.
- Be instrumental in integrating AI into the data platform, identifying opportunities where AI enhances internal productivity or empowers external product experiences.
- Own clear and effective communication with stakeholders at all levels, ensuring alignment and transparency on program scope, progress, risks, and trade-offs.
- Define and drive the adoption of frameworks, metrics, and processes for prioritizing work, measuring success, and ensuring alignment between business value and technical investments.
- Advocate for and implement data governance solutions that ensure scalability, compliance, and ethical use of data assets for internal and externally facing initiatives.
- Work with stakeholders across the company to enable maximum value realization from the existing tech stack while identifying opportunities for innovation and efficiency.
- Drive clarity and remove ambiguity in areas of high complexity, ensuring forward progress on critical business priorities.
Benefits
- general: Flex First remote work policy
- general: Highly market-competitive compensation
- general: New hire equity grant
- general: Annual refresh grants
Tags & Categories