Manager, Business Operations

The Core Platforms Technology team is looking for a talented, self-driven, and analytically minded Business Operations professional. Reporting to the Chief of Staff, the Business Operations Analyst will partner with engineering leaders and cross-functional teams to improve operating discipline, generate actionable insights, and enable data-driven decision-making across the organization.

This role combines business operations, data analysis, workforce and capacity planning, portfolio governance, communications, and program execution.

Meet Our Team:

The Business Operations team supports the Core Platforms Technology leadership team and helps the organization operate effectively at scale. We partner closely with Engineering, Product, Finance, People, Strategy, and other Business Operations teams to translate business priorities into measurable plans and coordinated execution.

Essential Responsibilities:

• Lead functional projects and programs to optimize operational processes.
• Identify issues and recommend best practices for process improvements.
• Partner with various departments to understand business trends.
• Drive business or process improvements within the function.
• Provide oversight and support for planning and management of financial, budget, and headcount targets.
• Act as a point of contact or liaison between business leadership, staff, and other key partners.
• Promote transparent reporting and foster a culture of data-driven decision-making by defining key metrics and evaluating progress.

Minimum Qualifications:

• 5+ years relevant experience and a Bachelor's degree OR any equivalent combination of education and experience.

Your Day-to-Day Responsibilities:

• Prepare, analyze, and interpret organizational and operational data, including workforce census, OKRs, KPIs, capacity, investment plans, roadmaps, delivery health, and other leadership reporting.
• Translate data into actionable insights, clearly identifying trends, risks, dependencies, and opportunities for leadership consideration.
• Create dashboards, executive presentations, and decision-support materials that communicate complex information clearly and concisely.
• Partner with engineering and product teams to maintain data quality, reporting accuracy, and consistent operating metrics.
• Support annual and quarterly planning processes, including workforce planning, capacity planning, resource allocation, and scenario modelling for employees and contingent workers.
• Support portfolio and operating reviews by tracking priorities, milestones, risks, dependencies, decisions, and follow-through.
• Identify opportunities to simplify, automate, and improve recurring operational processes and reporting.
• Use company-approved AI and automation tools to accelerate analysis, generate initial insights, synthesize information, and improve the efficiency of reporting and communications.
• Evaluate AI-generated outputs for accuracy, relevance, bias, and business context, while adhering to applicable data privacy, security, and responsible-AI requirements.
• Help develop and maintain operating playbooks, training materials, communications, templates, and best practices for the organization.
• Develop leadership messaging for internal communications, organizational updates, operating reviews, and executive presentations.
• Support employee engagement and organizational effectiveness initiatives in partnership with People Business Partners and business leaders.
• Lead or contribute to cross-functional initiatives and special projects, from problem definition and analysis through implementation and measurement of outcomes.

What You Need to Bring:

• 5+ years of experience in business operations, strategic planning, analytics, program management, technical project management, or a related discipline, preferably within a technology or engineering organization.
• Strong analytical and problem-solving skills, with the ability to convert data into insights, recommendations, and executive-level narratives.
• Advanced proficiency in Microsoft Excel and PowerPoint.
• Working knowledge of data-analysis and visualization tools such as SQL, Power BI, Tableau, Looker or equivalent platforms.
• Practical experience using generative AI or AI-enabled productivity tools for research, data synthesis, reporting, communications, workflow improvement, or decision support.
• Understanding of responsible AI use, including data confidentiality, output validation, bias awareness, and appropriate human oversight.
• Ability to identify repeatable processes that can be simplified or automated using AI, workflow tools, or low-code solutions.
• Strong execution orientation, with demonstrated ownership from problem definition through delivery and follow-through.
• Excellent written, verbal, and visual communication skills, including the ability to communicate effectively with senior executives and technical and non-technical stakeholders.
• Ability to manage multiple projects and competing priorities, meet deadlines, and adapt quickly in an environment characterized by change and ambiguity.
• Proven ability to work independently while collaborating effectively in a cross-functional, matrixed organization.
• Ability to establish credibility, build trusted relationships, and influence stakeholders without direct authority.
• Sound judgment and the ability to balance business partnership with constructive challenge and timely escalation of risks.
• Bachelor's degree in Business, Information Technology, Engineering, Data Analytics, or a related field, or equivalent practical experience.

Preferred Qualifications:

• Experience supporting platform engineering, infrastructure, cloud, developer productivity, enterprise technology, or another complex technical organization.
• Experience with portfolio management, technology investment planning, engineering capacity planning, or organizational health metrics.
• Familiarity with automation or low-code tools such as Power Automate, Copilot, or similar platforms.
• Experience designing executive dashboards, conducting scenario analysis, or developing business cases.
• Demonstrated curiosity about emerging AI capabilities and their application to business and engineering operations.