Remote Data Collector Jobs in Michigan (NOW HIRING)

WHAT YOU'LL DO

• Lead the end-to-end delivery of complex technical initiatives across engineering domains

• Drive alignment on business outcomes, scope, sequencing, risks, dependencies, ownership, and success measures across multiple teams

• Translate ambiguous goals into clear execution plans, operating rhythms, decision points, and accountability structures that enable teams to move faster

• Operate as a strategic delivery leader by asking the next question, surfacing gaps, and pushing for the rigor needed to execute well

• Challenge weak assumptions, plans, timelines, and inputs when needed to improve decision quality and reduce delivery risk

• Identifyrisks early, assess impact, drive mitigation planning, and escalate with recommendations rather than simply reporting problems

• Partner closely with engineering leaders and teams to understand technical context, architecture implications, dependencies, and delivery constraints well enough to guide execution credibly

• Provide concise, leadership-ready updates focused on progress, risks, changes, decisions needed, and recommended actions

• Facilitate discussions that drive teams to closure on priorities, tradeoffs, commitments, and next steps

• Improve execution quality byidentifyingpatterns, friction points, and systemic gaps across teams and helping implement better ways of working

• Explore, adopt, and help scale AI-enabled tools and practices that improve project management, including planning support, technical synthesis, status reporting, dependency analysis, risk detection, and decision support

• Lead or support initiatives tied to AI-enabled product capabilities, AI experimentation, and AI-related engineering investments as priorities evolve

• Partner effectively with engineering and product leaders as the organization increasingly incorporates AI into its product strategy, development approach, and internal tooling

• Travel as needed for team and company meetings

WHAT WE'RE LOOKING FOR

Required

• 5 to 7 years of experience leading medium to large technical projects or programs in cloud, SaaS, infrastructure, or engineering-focused environments

• Advancedproficiencywith Jira Cloud, Jira Advanced Roadmaps, Confluence,andAsana

• Demonstrated ability to lead complex cross-functional work across multiple engineering teams with differing priorities, tools, and delivery styles

• Experience driving alignment, decision-making, and delivery across senior engineers, engineering managers, and cross-functional leaders in a fast-moving environment

• Strong technical fluency and systems thinking, with the ability to understand architecture-level concepts, technical dependencies, and engineering tradeoffs

• Clear understanding of cloud infrastructure, automation, CI/CD, observability, and modern engineering practices, with the ability to apply that context in planning, dependency management, and delivery decisions.

• Proven ability to create clarity in ambiguous situations and translate incomplete information into actionable execution plans

• Track recordofidentifyingdelivery risks early, driving mitigation, and improving outcomes through proactive intervention

• Proven ability to describe delivered work in terms of outcomes, metrics, tradeoffs, and business or engineering impact, not just activities completed

• Strong judgment and executive communication skills, including the ability to synthesize complexity into concise, decision-ready updates

• Demonstrated ability to influence without authority and hold teams accountable through partnership, credibility, and follow-through

• Hands-on experience working with GitHub and related engineeringworkflow toolingto support planning, execution tracking, issue management, and cross-team coordination.

• Practical interest in AI and emerging technologies, including hands-on use of AI-assisted tools to improve delivery outcomes or team workflows

• Comfortoperatingin an organization that is actively increasing investment in AI-driven product capabilities and AI-enabled engineering practices

Preferred

• Experience working in Azure, AWS, or GCP-based environments

• Experience working with distributed engineering teams across regions, including the ability to drive alignment, accountability, and execution across time zones and differing team norms

• Experience supporting engineering efficiency, platform automation, cost optimization, or operational improvement initiatives in technical environments

• Experience building or improving TPM operating models, governance, reporting, or portfolio-level execution practices

• Experience using AI tools to support planning, communication, meeting synthesis, reporting, risk identification, dependency analysis, or workflow automation

• Exposure to AI or machine learning initiatives through direct project support or self-driven learning and experimentation

• Experiencemanagingcross-team planning, andoperatingeffectively even when data quality is imperfect

• Relevant project or program management certifications such as PMP, PMI-ACP, PMI-RMP, or equivalent Agile credentials

WHY WE COULD BE A GREAT FIT

Impactful Mission

• Help teams deliver technology that enables organizations to organize data, discover the truth, and act on it in high-stakes legal and regulatory matters.

Growth Path

• Opportunities to work across complex infrastructure and platform initiatives while influencing how teams plan, execute, and adopt AI-enabled ways of working.

Engineering and Delivery Culture

• Strong emphasis on judgment, accountability, execution quality, and continuous improvement without unnecessary process overhead.

Inclusive Environment

• Diverse backgrounds and perspectives are valued and make us stronger.

Community Impact

• Volunteer opportunities and company-sponsored charitable programs.

Compensation and Benefits

• Competitive salary, annual performance bonus, long-term incentives, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, home office stipend, and an equity program.