Proto Innovation Logo

Proto Innovation

Senior Strategist, Commercial Strategy

Posted 4 Hours Ago
Be an Early Applicant
Hybrid
New York, NY, USA
120K-135K Annually
Senior level
Hybrid
New York, NY, USA
120K-135K Annually
Senior level
Leads commercial strategy engagements by framing ambiguous client questions, building financial and operating models, analyzing messy data with Python, sizing markets, and developing actionable recommendations. Presents findings to executive audiences, directs junior strategists, collaborates across disciplines, and converts analyses into reusable models, dashboards, and pipelines. The role requires strong strategic, analytical, financial modeling, communication, and client-facing skills in a consulting environment.
The summary above was generated by AI

Senior Strategist, Commercial Strategy

Senior Strategists play a critical role on our teams, turning a loosely framed client question into a defined analytical problem, owning the work that answers it. On any given project, they build the models and business cases that show which ideas are worth bringing to market, what those ideas are worth, and what it will take to deliver them. They design analyses from a blank workbook, construct views of markets and business models where no clean comparable exists, direct the contributions of Strategists and Associate Strategists, and present recommendations to executive audiences alongside more senior team members. As a Senior Strategist, you will apply Proto’s approach to innovation strategy with light oversight and increasingly shape how the team practices it.

What you will do:

  • Turn a loosely framed client question into a defined analytical problem, breaking it into components, identifying which ones are load bearing, and framing two or three approaches before the work starts;
  • Expect a first approach to break, treat each failed attempt as information, and return with what was learned and the next variant in hand;
  • Work from limited or imperfect data to build a defensible view of a market, offering, or business model when no clean comparable exists, reasoning from first principles about who pays and what the unit of scale is, triangulating from smart proxies, and sizing markets bottom up;
  • Design financial and operating models from a blank workbook, matching the form of the analysis to the question and building driver based structures that mirror how the business actually works;
  • Isolate and clearly label every assumption so clients and colleagues can follow the logic and pressure-test it, prioritize the variables that actually drive business impact, and avoid getting lost in analysis for analysis’s sake;
  • Pull, clean, join, and segment client data in Python, including unstructured inputs such as free text CRM notes, and sanity check findings against reality before presenting them;
  • Convert analyses that worked into parameterized models, dashboards, or scripted pipelines that clients can run and maintain after the engagement ends;
  • Synthesize learnings into clear and actionable strategic deliverables that lead with the answer and hold up under a hostile read, and present them to executive audiences with internal and client teams, defending the argument without the deck when needed;
  • Collaborate with, and take input from brand, innovation, and experience strategists, engagement managers, designers, and clients from different backgrounds;
  • Arrive at working sessions with a draft of the answer, what you have ruled out, and where you want input, and share work at 60 percent confidence so the team can shape it early;
  • Direct the contributions of Strategists and Associate Strategists on your workstream, review their work for logic and rigor before it reaches the client, and turn what each engagement taught you into methods and assets the team reuses.

Qualifications

  • 4-7 years of client side or consulting experience in corporate strategy, growth strategy, or new venture development, owning the analysis behind growth, business model, or investment decisions and presenting it to executive audiences;
  • Undergraduate and/or graduate degree in economics, finance, engineering, business administration, accounting, or related disciplines preferred;
  • Experience working with large and messy data sets to identify insights and commercial opportunities;
  • An advanced command of Excel and financial modeling, with a track record of building models from scratch that others could audit;
  • Working fluency in Python and comfort with AI assisted building such as Claude Cowork or Claude Code (bonus: a client tool or dashboard you have shipped);
  • Comfortable working with collaboration tools and communication platforms (Slack, Google Suite, AI, Figma, etc.) and willing to experiment with new ones;
  • Comfortable moving forward amidst ambiguity, working with imperfect data sets, and getting functionally conversant in a new industry within days;
  • Based in New York metro area;
  • Willing to travel up to 25% for client meetings.

In New York City, the base salary for this position is $120k-135k, and Proto’s compensation packages include other competitive offerings. Individual compensation varies based on job-related factors including business needs, years of relevant experience, level of responsibility and qualifications.

Proto is a New York-based company with offices at 120 Broadway, 34th floor. Our staff is encouraged to work-from-office on days of their choosing based on personal preferences, collaboration moments, client meetings, and all-company gatherings. We also support workplace flexibility and have made work-from-anywhere available to all staff (within a 3-hour time zone of eastern standard time zone). Our core business hours are generally 9:30am-6:00pm EST; however, due to our client service model and collaborative working culture, individual working hours fluctuate to reflect client deadlines and deliverables.

Interested in applying? Right this way.

Justice, Equity, Diversity and Inclusion [JEDI] at Proto

We believe that fostering a just, equitable, diverse, and inclusive organization that works for us, will ultimately advance positive futures for all. Our people are our greatest investment, and it is through them that we continually incorporate a variety of lived and professional experiences that expand, evolve and amend our approaches. Only by combining unique experiences, perspectives, and backgrounds can we unlock the most creative ideas and innovative approaches for our clients to shape a world that works for everyone. 

This Proto post has been written in 12-point font and includes extra space around headings and between paragraphs for easier reading amongst people with dyslexia. We are continuously working towards making our job postings more inclusive. If you have feedback for our intersectional JEDI team, please send an email to [email protected].

HQ

Proto Innovation New York, New York, USA Office

175 Greenwich St. Floor 30, New York, NY, United States, 10007

Similar Jobs

33 Seconds Ago
Hybrid
New York, NY, USA
150K-205K Annually
Mid level
150K-205K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads strategy and execution for identity journey intelligence data features and customer authentication data products. Partners with engineering, analysts, and business teams to prioritize feature catalogs, drive enterprise adoption, identify fraud and customer-experience use cases, and shape journey-level data-driven decisioning.
34 Seconds Ago
Hybrid
New York, NY, USA
197K-246K Annually
Mid level
197K-246K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Build and deploy foundational AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for latency, cost, throughput, scalability, and hardware utilization. Own complex architectures, reliability SLOs, security and compliance reviews, technical roadmaps, and cross-functional delivery while mentoring engineering teams.
Top Skills: Agentic AiAWSAws UltraclustersAzureC#C++CudaGoGCPGpusHugging FaceJavaKubernetesLlm InferencePythonPyTorchScalaSimilarity SearchTpusVectordbs
34 Seconds Ago
Hybrid
New York, NY, USA
150K-205K Annually
Mid level
150K-205K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads product vision, strategy, and roadmap for authenticator and vendor speed-to-market capabilities. Drives initiatives across product development, vendor onboarding, and identity platform lifecycles, including self-service policy tools, AI automation toolkits, vendor process blueprints, automated testing, and standardized datasets. Partners cross-functionally to accelerate deployment of fraud-mitigation solutions while improving customer experience and secure access.
Top Skills: Artificial Intelligence (Ai)Automated TestingDigital ProductsIdentity Verification Platforms

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account