Technical Product Manager - Behavioural Analytics

diligentcorporation; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work environment

Global London office

Diversity & inclusion

Job summary

Diligent is building a world-class product behavioural data system across its 24+ products. You will define metric definitions, telemetry standards, data contracts, and models that transform behaviour into portfolio insight.

You’ll educate and support teams, set adoption metrics, and plot a rational roadmap for maturing the product, helping users interpret data honestly and wisely. AWS/Snowflake is our spine; capture and BI are open decisions you’ll help shape.

Qualifications

• Direct experience building mixed-method behavioural insight systems.
• Hands-on event and telemetry schema design for modern analytics stacks.
• Designing and governing product data models and taxonomies across multiple products.
• Data governance practice: schema ownership and change control.
• Fluency in SQL and the BI/warehouse layer for roll‑ups and validation.
• Behavioural segmentation judgement for account-level insights.
• The credibility to influence without authority across teams.

Responsibilities

• Design the behavioural telemetry: event and entity-state schemas for portfolio roll‑up and feature decisions.
• Own canonical data definitions, naming, and versioned change control across units.
• Build models: SQL, BI and roll‑up logic turning behaviour into adoption/value insights.
• Triangulate behavioural data with qualitative evidence; segment by user role and account.
• Partner on product/customer/user taxonomies and analytics stack evolution.

Skills

Mixed-method insights

Telemetry design

Product data models

Data governance

SQL & BI

Segmentation analytics

Influence without authority

Tools

Pendo

Amplitude

Segment

Mixpanel

Job description

Here’s a summary of the role

Data is only powerful when everyone agrees what it means. This is your chance to build a world class product behavioural data system and process from the ground up.

We're rebuilding the internal product our teams use to measure product success and end-user value across all our 24+ products in four business units.

You'll design the single source of truth: the metric definitions, the telemetry standards, the data contract engineering instruments against, the change governance processes and tooling, and the models that turn behaviour into portfolio insight.

You’ll educate and support the teams using this internal behavioural data product to set expectations and and plot a rational roadmap for the maturing of this product, helping our user to use the data honestly and wisely.

Usage tells you what happened, not why, or whether it mattered. We want someone who sets quantitative behaviour against qualitative evidence and treats the disagreement as the interesting part.

AWS/Snowflake is our spine; capture and BI are open decisions you’ll help make. Your models feed the business reviews our executive team, CTO and investors use to run the portfolio, and engineering is committed to instrument against your contract.

Here’s what your first twelve months should look like

• First 90 days. Learn the estate, meet the engineers who instrument it, and agree the measurement model for one product end to end — with a defensible adoption number and the qualitative read on what it means.

• Three to six months. Data contract published, instrumentation spec landed with engineering, first business unit building against it. Definitions, naming and versioned change control governed.

• Six to twelve months. Rolling out across the remaining business units through the BU-aligned analysts, portfolio reporting running on your numbers.

Here’s a breakdown of what you'll do (not all of it, just the important stuff)

• Design the behavioural telemetry — event and entity-state schemas at a grain that supports both portfolio roll‑up and feature‑level decisions — and write the instrumentation specification engineering builds against. Then assure what comes back: coverage, freshness, reconciliation.

• Own the measurement standard — canonical definitions, naming, field ownership, versioned change control — across every business unit.

• Build the models — SQL, BI and roll‑up logic turning behaviour into insight on adoption, time‑to‑value and value realisation.

• Triangulate. Pair behavioural data with qualitative evidence from design research and VoC, segment by user role and account, and say so publicly when the two disagree.

• Partner on the product, customer and user taxonomies, set the technical standard for the BU‑aligned analysts, and help shape the analytics stack as we revamp it.

These are the essentials you'll need to get an interview

• Direct experience building mixed‑method behavioural insight systems — you've built the layer where quantitative behaviour and qualitative evidence come together, not just consumed the output. You've worked alongside design or UX researchers, and can name a time the qualitative read changed what you measured.

• Hands‑on event and telemetry schema design — Pendo, Amplitude, Segment, Mixpanel or equivalent. You designed the schema and wrote the spec, not used dashboards someone else built.

• Designing and governing product data models and taxonomies — canonical metrics and naming taken into a multi‑product estate and made to stick, including acquired products.

• Data governance practice: schema and field ownership, versioned change control, standards adoption across teams you don't own.

• Fluency in SQL and the BI / warehouse layer — you build and validate roll‑up logic yourself.

• Behavioural segmentation judgement — you know why a B2B account is a mix of people with different motivations, and why averaging them produces confident, wrong conclusions.

• The credibility to influence without authority — you can hold a standard with teams you don't line‑manage.

It would be great if you had these too, but we'll support you if you don't

• Hands‑on behavioural analytics and synthesis practice — running the analysis yourself, not only building what enables it.

• Privacy and lawful basis as live design constraints — pseudonymisation, residency, re‑identification controls.

• GRC, governance or regulated‑software domains.

• Salesforce, Jira Product Discovery, Pendo, and consolidating fragmented tooling into one system of record.

• Product value / ROI measurement — connecting behaviour to commercial outcomes.

How we'll assess this

We ask everyone to write SQL and design an event schema, and to talk us through a time qualitative evidence contradicted their numbers. No take‑home longer than an hour.

Here’s where this role goes next

We're building this function, not maintaining it. You set the standard the BU‑aligned analysts land across the business — technical leadership from day one, without a management line.

As the team grows around you — a data scientist, a behavioural researcher, an ML engineer — the routes are principal‑level ownership of product behavioural data across Diligent, or leading the team that runs it. We'd rather be straight with you than promise a title we cannot yet name. The scope is real, and it is expanding.

#LI‑Hybrid

About Us

Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C‑Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.

At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact.

Learn more atdiligent.com or follow us on LinkedIn and Facebook

What Diligent Offers You

• Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
• We care about our people.Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
• We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
• Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Diligent created the modern governance movement. Our world‑changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability –to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.

Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in‑person engagement helps drive innovation, teamwork, and a strong sense of community.

Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws.We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and US EEOC’s Know Your Rights. We are a drug free workplace.

We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at -----

To support a fair and consistent hiringprocess, we use AIand digital automated tools to assist our recruitment team in organizing candidate data, surfacing relevant applications, coordinatinginterview scheduling and summarizing interview notes. All final screening, evaluation, and hiring decisions are made by humans on our team. To learn more about how we collect, protect, and process your information, please review our Candidate Privacy Policy.

At Diligent, we recognize the value of a diverse global workforce. Visa sponsorship may be available for select positions based on business needs and specific role requirements. Sponsorship decisions are evaluated on a case‑by‑case basis, and eligibility should not be assumed for all opportunities.