Your work will span across systems engineering, spacecraft integration, program planning, and cross-functional coordination,focusing on building technically sound, organized, and repeatable delivery paths.

This is an excellent opportunity for a first- or second-year aerospace engineer, systems engineer, or technical contributor seeking to move into a hybrid systems/program role while staying close to the engineering and architecture of space systems.

As an Associate position at Astranis, you will serve as a process and structure amplifier,identifying where organization, documentation, or systems rigor is missing and proactively closing the gap.

Key responsibilities include:

• Owning and managing key systems engineering artifacts (ICDs, requirements traceability, CONOPS documents, integration plans) to support execution of USG spacecraft programs.

• Driving the creation, version control, and delivery of key program documentation for internal and customer-facing use.

• Maintaining and updating system-level schedules and technical deliverables in coordination with spacecraft engineering leads.

• Tracking and managing program requirements, subsystem interfaces, and key milestones, escalating gaps, dependencies, or misalignments across teams.

• Supporting risk identification and mitigation across hardware, software, and operations workstreams.

• Coordinating and leading regular technical milestone reviews, including PDRs, CDRs, TRRs, and customer-facing reporting.

• Partnering with mission engineering and subsystem leads to validate spacecraft performance against mission requirements.

• Managing configuration and documentation control for all technical program assets.

• Assisting with internal program review prep and customer briefings with rigor, clarity, and a focus on technical detail.

Requirements include:

• 1+ year of technical engineering experience in aerospace (e.g., systems, avionics, GNC, propulsion, integration & test, mission operations).

• Bachelor’s degree in aerospace engineering, mechanical engineering, electrical engineering, physics, or a similar technical field.

• Familiarity with end-to-end spacecraft systems and how subsystems interact in space-based environments.

• Excellent written communication skills and ability to structure and drive technical documentation.

• Strong organizational skills,able to bring structure to technical chaos.

• U.S. Citizenship required (due to government program access requirements).

Bonus requirements include:

• Experience with U.S. government space programs (e.g., DoD, NRO, NASA).

• Familiarity with Smartsheet, Jira, Confluence, and configuration management tools.

• Exposure to requirements management tools like DOORS, Jama, or Flow.

• Leadership in technical clubs, university projects, or capstone systems design efforts.

• Knowledge of MIL-STD or other government systems engineering standards.

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Collaborating with cross-functional teams, you will leverage cutting-edge technologies and industry insights to deliver seamless, personalized customer journeys that drive business growth and loyalty.

This role leads North America Financial Services' Digital Customer Experience (DCX) technology strategy and major transformation deals. The leader owns large pursuit strategy end-to-end,shaping solutions, developing value narratives, estimating, differentiating competitively, and guiding cross-functional teams,while engaging C-suite stakeholders to deliver outcomes in growth, experience, and efficiency.

Responsibilities include defining CX vision and maturity, designing journey transformations and operating models, and translating pain points into multi-year roadmaps. The role also sets enterprise CX technology strategy across CRM, marketing automation, case management, personalization, journey orchestration, and intelligent operations, ensuring scalable architectures and ROI. Finally, it drives thought leadership and partner ecosystem initiatives with key platforms and fintech/AI partners.

Key Responsibilities:

1. Lead All Large Digital Customer Experience Deals

• Serve as the executive deal lead for all large and strategic CX transformation pursuits across North America.

• Own deal strategy, encompassing shaping, solutioning, storytelling, value articulation, estimation, and competitive differentiation.

• Lead cross-functional pursuit teams (strategy, architecture, delivery, pricing, industry, partner ecosystem) to craft compelling proposals.

• Engage directly with C-suite stakeholders to define outcomes tied to revenue growth, customer experience improvement, and operational efficiency.

• Act as the primary executive representative and brand ambassador for all major DCX transformations.

1. Customer Experience Strategy and Consulting

• Lead CX visioning, maturity assessments, journey transformation strategies, and future state operating model design.

• Advise financial services leaders on unifying sales, service, marketing, and operations with modern digital, cloud, data, and AI platforms.

• Translate customer pain points into multi-year, multi-platform transformation roadmaps.

1. Enterprise CX Technology Strategy

• Define and articulate the overarching technology strategy for digital CX initiatives within the financial services industry, aligning with business objectives and customer-centric goals.

• Develop enterprise technology solution strategies for CRM, marketing automation, case management, personalization, journey orchestration, and intelligent operations.

• Work closely with solution architects to ensure that technology solutions across various stacks are cohesive, scalable, and effectively address customer needs and business requirements.

• Guide clients on platform selection, modernization, integration, and maximizing ROI.

1. Customer-Centric Program Planning

• Focus intensely on customer goals, developing comprehensive program plans that drive measurable outcomes and enhance the overall customer experience.

• Build program plans, value frameworks, governance structures, and executive reporting models for large-scale CX transformations.

1. Market and Thought Leadership

• Create compelling thought leadership on the future of CX, AI-driven servicing, personalized banking, and connected customer journeys.

• Present at industry forums and executive briefings, shaping brand perception in the market.

• Develop frameworks, accelerators, and methodologies that differentiate our CX practice.

1. Partner Ecosystem Leadership

• Leverage strategic relationships with Salesforce, Microsoft, Adobe, Pega, and key fintech/AI partners.

• Shape co-innovation initiatives and joint go-to-market (GTM) strategies.

• Stay ahead of platform roadmaps, competitive dynamics, and new capabilities.

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At TPP, you'll be instrumental in simplifying software by driving Ford's minimum complexity vision, boosting quality and speed by enabling faster, higher-quality software delivery, optimizing programs to make vehicle execution significantly more efficient, and scaling solutions by leading cross-functional strategies for broad impact across our vehicle lineup.

This role sits at the intersection of cutting-edge digital technology and automotive-grade systems, where innovation, user experience, and rapid delivery are paramount.

You will be part of a complex, cross-functional program team that spans embedded software, cloud integration, hardware interfaces, and user experience design.

Key Responsibilities:

• Program planning and execution across multiple vehicle programs and digital platforms, balancing resources, risks, and priorities.
• Develop and maintain schedules, dependency maps, and risk mitigation plans across integrated services feature deliverables and functionality.
• Ensure timely delivery of infotainment and connected services aligned with Integrated Services HIC roadmap and customer expectations.

Communication & Stakeholder Engagement:

• Communicate program status, risks, and decisions clearly and effectively to executive leadership and technical teams.

Innovation & Continuous Improvement:

• Identify and implement process improvements to enhance program execution, quality, and velocity.
• Provide ongoing, objective feedback to strategy, product, and engineering to support the ever-changing landscape of execution.
• Recognize and quickly respond to the needs of a program in execution where roles and responsibilities may be unclear.

Adaptability:

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Responsibilities:

• Lead a high-performing team of Portfolio Data Engineers, fostering a culture of collaboration, innovation, and continuous improvement.
• Strategically prioritize and manage team workloads, ensuring effective task allocation and resource capacity to support team goals.
• Provide expert technical guidance and mentorship, ensuring adherence to best practices, coding standards, and architectural guidelines.
• Act as the Chief Data Technical Anchor for the PLMA domain, resolving critical incidents through Root Cause Analysis (RCA) and implementing permanent, resilient architectural fixes.
• Oversee the design, development, maintenance, scalability, reliability, and performance of data platform pipelines, aligning them with business needs and strategic objectives.
• Contribute to the long-term strategic direction of the Data Platform by proactively identifying opportunities for best practice adoption and standardization.
• Champion data quality, governance, and security standards, ensuring compliance and safeguarding sensitive data assets.
• Enhance efficiency and reduce redundancy by consolidating common tasks across teams.
• Effectively communicate decisions to stakeholders, building strong relationships and ensuring alignment on data initiatives.
• Maintain awareness of industry trends and emerging technologies to inform technical decisions.
• Lead the implementation of customer requests into data assets, ensuring optimized design and code development.
• Guide the team in delivering scalable, robust data solutions and contribute hands-on to critical projects, including design and code reviews.
• Lead technical decisions that drive data innovation and resilience.
• Demonstrate full stack cloud data engineering expertise, covering automation, versioning, ingestion, integration, transformation, optimization, and data modeling.
• Engage in agile planning, including scope, work breakdown structure, as well as roadblock resolution.
• Design solutions for cost and consumption optimization, scalability, and performance.
• Collaborate with Data Architecture and stakeholders on solution design, data consolidation, retention, purpose of use, compliance, and audit requirements.
• Drive engineering excellence by establishing and monitoring SWE-centric quality metrics (including DORA metrics and P99 latency targets).

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field.
• 8+ years of experience in complex data environments, demonstrating increased responsibilities and achievements with:

+ Expertise in programming languages such as Python or Scala, and strong SQL skills. + Experience with ETL/ELT processes, data warehousing, and data modeling. + Experience with CI/CD pipelines, Docker, Git/Gerrit, and experience designing resilient deployment strategies and sophisticated release management. + Familiarity of data governance, privacy, quality, and monitoring.

• Proven experience in implementing sophisticated testing strategies, driving quality tool adoption, establishing comprehensive code review processes, and setting observability standards with advanced monitoring and proactive alerting.
• 5+ years of experience within the automotive industry or related product development environments and product lifecycle management.
• 5+ years of experience in leading software or data engineering teams, with a focus on team development and project success.
• 5+ years of experience in Big Data environments or expertise with Big Data tools, including:

+ Data processing frameworks and data modeling. + In-depth knowledge and practical experience with Google Cloud Platform services. + Proven experience in monitoring and optimizing costs and compute resources in hyperscaler platforms.

• Significant experience leveraging Generative AI and LLMs to optimize data engineering workflows (e.g., automated code generation, documentation, or metadata management).

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.
• Expertise in GCP based data engineering services like BQ, Dataflow, Airflow, Dataform, Datastream, Apache Beam, Cloud Run, Cloud Functions
• Familiarity with automotive Product Development processes, including program planning, design validation, and cross-functional collaboration across engineering, manufacturing, and supplier teams to deliver data-driven insights at each lifecycle stage
• Experience in managing and scaling serverless applications and clusters, focusing on resource optimization and robust monitoring and logging strategies.
• Proficiency in unstructured data ingestion, including experience with data modeling and preparation techniques to support AI and machine learning workloads.
• Experience with AI architecture and AI enabling tech (graph database, vector database, etc)
• Familiarity with data visualization tools (e.g., Power BI, Tableau).
• Working knowledge of ontology, semantic modeling, and related technologies

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