Argano Logo

Argano

Senior Principal Consultant - Agentic Operations

Reposted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Lead multidisciplinary teams to identify and prioritize operational efficiency opportunities, design AI-enabled and agentic workflows, develop business cases, drive pilots and implementations, and manage change, governance, and adoption to realize measurable business outcomes.
The summary above was generated by AI

Principal/Engagement Manager – Operations Strategy 

About the Role 
Argano is a digital consultancy specializing in high-performance business operations, digital transformation, and AI-driven solutions. We help enterprise and mid-market organizations modernize core systems, streamline supply chains, and improve financial, data, and workforce operations to exceed customer expectations and fuel commercial growth. 

We are seeking an experienced strategy consulting leader — someone who brings the rigor, structure, and executive presence of a top-tier consulting background — to lead multi-disciplinary teams that identify and implement transformation opportunities in middle/back-office operations. This role is the bridge between business strategy and technical execution: you will define the what and why of transformation, working closely with technologists, AI/agentic engineers, and change management specialists who own the how. 

This Principal/Engagement Manager will partner with business leaders, consulting teams, and technology stakeholders to identify high-impact opportunities, build the business case, shape solution direction, and drive successful implementation and adoption. 

Key Responsibilities 

Identify Opportunities 

  • Partner with business leaders to structure ambiguous problems, prioritize opportunities, and build rigorous, quantified business cases for operational transformation. 
  • Build and manage a portfolio of initiatives aligned to strategic business objectives, applying hypothesis-driven analysis to focus effort on the highest-value opportunities. 

Shape & Direct Solutions 

  • Translate business challenges into a clear solution vision and requirements, partnering with technology and AI teams to design agentic workflows and AI-enabled solutions — directing solution shape and business logic while technical teams own implementation. 
  • Lead pilots and implementations, ensuring technical delivery stays tied to business outcomes and value realization. 

Drive Adoption & Transformation 

  • Lead executive-level communication and storylining, translating complex technical work into clear narratives for senior stakeholders. 
  • Design and implement change management, training, and stakeholder engagement to ensure adoption. 
  • Establish governance, measure value realization, and shape future service offerings. 

Qualifications 

Required 

  • 5–10 years in management/strategy consulting (top-tier / MBB or MBB-equivalent firm strongly preferred), with direct experience structuring ambiguous business problems and building executive-ready business cases. 
  • Demonstrated hypothesis-driven, structured problem-solving approach (e.g., MECE frameworks, issue trees) applied to real client engagements. 
  • Track record leading complex, cross-functional business or technology transformation initiatives. 
  • Strong quantitative business case development and financial modeling skills. 
  • Excellent executive communication, story lining, and facilitation skills — comfortable presenting to and influencing C-suite stakeholders. 
  • Demonstrated ability to partner effectively with technical experts (engineers, data scientists, AI architects) — translating between business and technical requirements. 

Preferred 

  • Experience directing or scoping AI, automation, or enterprise technology implementations. 
  • Familiarity with generative AI, LLMs, agentic systems, or workflow automation concepts sufficient to credibly partner with technical teams. 
  • MBA or equivalent advanced degree. 
  • Experience evaluating and selecting SaaS or enterprise technology solutions from a business/vendor-management lens. 
About UsArgano is the first of its kind: a digital consultancy totally immersed in high-performance operations. We steward enterprises through ever-evolving markets, empowering them with transformative strategies and technologies to exceed customer expectations, unlock commercial innovation, and drive optimal efficiency and growth. 

Argano is an equal-opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

Similar Jobs

Yesterday
Remote or Hybrid
OH, USA
Senior level
Senior level
Financial Services
Leads software engineering and AI/ML solution delivery using Java and Python. Designs, builds, operates, and troubleshoots secure, scalable production systems; advances AI-assisted engineering practices; integrates LLM, RAG, and NLP capabilities; develops CI/CD and cloud-native automation; improves observability, reliability, and incident remediation; partners on technical roadmaps; and mentors engineers and AI practitioners.
Top Skills: Ai/MlAWSCi/CdCloud-Native ArchitecturesContainerizationEvent-Driven ArchitectureGenerative AiInfrastructure As CodeJavaLangchainLanggraphLlmsMicroservicesNlpObservabilityPythonRetrieval-Augmented Generation (Rag)
Yesterday
Remote or Hybrid
97K-164K Annually
Senior level
97K-164K Annually
Senior level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develop and maintain Master Data Management, data governance, stewardship, quality, and reference data processes. Partner with enterprise stakeholders and governance groups to define standards, validate master data, establish quality rules, support data owners, and prioritize initiatives. Lead requirements for system configuration changes while using data profiling, modeling, and analytics to improve data validity and consistency across systems.
Top Skills: AgileInformaticaProfiseePythonRestSemarchySoapSQL
Yesterday
Remote or Hybrid
97K-164K Annually
Senior level
97K-164K Annually
Senior level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develop and maintain master data management and integration capabilities, including data quality rules, governance processes, stewardship workflows, data validation, profiling, modeling, and integration design. Collaborate with enterprise stakeholders, data owners, stewards, and governance groups to define requirements, configure systems, and support strategic MDM initiatives. Use Python, SQL, AWS services, APIs, Dataiku, and ETL/MDM tools to improve data accuracy, consistency, transformation, and retention.
Top Skills: AgileAmazon RedshiftAPIsAws LambdaAws Step FunctionsDataikuETLInformaticaPl/SqlProfiseePythonSemarchySQL

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account