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Senior Director Product and Analytics

MiQ

New York, US$190k – $250khybrid

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About this role

Job Description Position: Sr. Director, Product & Analytics (US Verticals) Location: New York City

THE ROLE MiQ is seeking a Sr. Director, Product & Analytics to lead the US vertical product pod and custom analytics function within the US Product & Solutions org. This role owns the product team charter, drives roadmap execution, and ensures that what gets built is commercially sharp, AI-forward, and tied to measurable business outcomes.

Two functional areas report into this role: the US local vertical product pod — Product Lead and PMs building MiQ’s vertical intelligence products across Healthcare, CPG, Travel, Political, and Social; and custom analytics for the Indies & Brand Direct segment.

WHAT THEY WILL DO 1. Product Team Leadership & Commercial Development • Directly manage the Product Lead and PMs; own their performance, development cadence, and output quality

• Groom the team to think commercially — every roadmap item must connect to a client need, a revenue outcome, or a defensible competitive position

• Set and maintain consistent expectations for deliverables, timelines, and quality; address gaps directly and early

• Push the PM pod to operate across two distinct tracks: Discovery (prototyping, future-state definition, AI/agentic exploration) and Delivery (execution, release, GTM) — these are not the same motion and should never collapse into one

2. AI-Forward Product Thinking • Champion a product culture that draws on how leading technology platforms are embedding AI and agentic flows into their core experiences — and defines what the right analogy is for MiQ’s products

• Drive PMs to lead discovery through hands-on prototyping and working artifacts — validate before committing to a delivery track

• Evaluate which AI or agentic infusions are genuinely relevant to MiQ’s vertical products vs. noise; make that call with rigor and defend it

• Set the standard for what “future-looking product definition” means on this team

3. Product Roadmap Ownership & Execution • Work with the US Product & Strategy leadership to ensure the product roadmap reflects US business priorities and is anchored to commercial OKRs — keeping strategy grounded in execution reality

• Own the US vertical product roadmap: prioritization, sequencing, and stakeholder alignment — ensuring every item is tied to business priorities and growth areas, not just backlog hygiene

• Maintain a clear and auditable view of exact releases, timelines, and status across all in-flight vertical products

• Serve as the connective tissue between strategy and execution — translate top-down direction into a sequenced, resourced, and trackable plan

• Keep a continuous pulse on team productivity: velocity, blockers, and capacity — surface shortfalls before they become delays

4. CoE Collaboration & Engineering Alignment • Serve as the primary product-side interface with the CoE engineering squads — own the relationship, not just the ticket queue

• Drive roadmap alignment with CoE leads through structured quarterly planning and regular checkpoint cadences

• Work with the Program Management team to track releases end-to-end; maintain a live view of what’s in flight, what’s at risk, and what’s shipped

• Ensure CoE capacity is correctly mapped to the priority areas of the business — flag misalignment early and advocate for the right resource allocation against the roadmap

• Ensure processes between the product pod and CoE are clearly defined, consistently followed, and improve over time — reduce friction, increase throughput

5. GTM & Sales Marketing Partnership • Work closely with the Sales Marketing team on every product release — provide narrative inputs, define key differentiators, and ensure the commercial story is grounded in actual product capability

• Ensure product releases don’t land without a positioning framework that Sales can use immediately in RFPs, pitches, and client conversations

• Connect roadmap milestones to GTM pillars: Specialization, Simplification, Differentiation, Measured Impact

6. Data Partner Strategy & Operationalization • Partner with the Strategy & Partnerships Lead to scope, evaluate, and operationalize new vertical data partners

• Own the audit framework for partner fit within the product strategy — does the data actually enable a differentiated product, or does it add complexity without value?

• Ensure implementation follows through: a signed data partner with no product integration is a failed partnership

• Maintain ongoing alignment between the partner pipeline and the product roadmap

7. Custom Analytics — Indies & Brand Direct • Define the strategy and architecture for custom analytics supporting the mid-market segment

• Build repeatable measurement frameworks; reduce one-off analytical lift through tooling and standardization

• Drive adoption of AI-assisted analytics workflows across the team

WHAT YOU BRING Required • 10+ years in product management, analytics, or a hybrid role at a data-intensive company — adtech, martech, or programmatic media experience strongly preferred

• Proven experience managing and developing product teams (PMs, Analytics/Solutoins or equivalent) — you know how to raise the commercial IQ of a team, not just manage task output

• Experience in Python and other data science languages — comfortable working with data outputs, evaluating analytical work, and engaging credibly with engineering and data science teams

• Experience owning a multi-product roadmap with direct revenue accountability — you’ve made real prioritization calls with real trade-offs

• Demonstrated ability to maintain a disciplined separation between discovery and delivery — you’ve run both tracks simultaneously and kept them from collapsing into each other

• Operational instinct: you build systems (tracking, release management, review cadences) that keep a team aligned without constant escalation

Strong Preference • Familiarity with programmatic data ecosystems — ACR, bid stre

Salary insight

The midpoint of this range ($220k) is about 37% above the median disclosed salary for New York roles listed on ForgeApply ($161k across 9,840 jobs).

See full Data Analyst salary data for New York

Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.

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