Justin Sebok

Justin Sebok Email and Phone Number

VP Product & Operations at Volume @ Volume
Justin Sebok's Location
Greater London, England, United Kingdom, United Kingdom
Justin Sebok's Contact Details
About Justin Sebok

Justin Sebok is a VP Product & Operations at Volume at Volume. He possess expertise in a/b testing, machine learning, r, matlab, data analysis and 34 more skills. Colleagues describe him as "Justin is a truly rare find - an incredibly competent true data scientist, who is also able to articulate what he can do to a non data-literate audience. I genuinely loved every minute working with Justin and would always try to find an excuse just to sit and listen to whatever exciting discovery he was making at the time! Justin added real value to our marketing attribution and effectiveness at Tesco, moving us on in a very short space of time and leaving a great legacy to follow."

Justin Sebok's Current Company Details
Volume

Volume

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VP Product & Operations at Volume
Justin Sebok Work Experience Details
  • Volume
    Vp Product, Compliance & Operations
    Volume Sep 2023 - Present
    London, Gb
  • Curve
    Head Of Product
    Curve May 2022 - Aug 2023
    London, England, Gb
    Led a product group of over 30 people including product managers, designers, researchers and engineers, line managing 9 directlyDrove proportion of subscribing customers from 5% to 19% over 16 months as a part of a company-wide pivot to focus on revenue and profitabilityDrove a 42% reduction in CX tickets in one quarter by leading a cross-departmental initiative focussed on improving this areaImproved quarterly planning process, improving clarity across the business around the focus areas for the Product team
  • Curve
    Group Product Manager
    Curve Aug 2021 - May 2022
    London, England, Gb
    Drove a 61% improvement in our 7-day conversion rate through focus on funnel optimisation, rapid experimentation and A/B testingReorganised several teams into the Core Product group, focussed around the company’s growth funnel, taking on management of 1 PM and 2 associate PMsDrove significant improvements in the relationship between Product and Marketing, helping deliver more consistent customer messaging across the acquisition flow
  • Worldremit
    Senior Product Manager - Customer Engagement
    Worldremit Nov 2019 - Aug 2021
    London, England, Gb
    Led the Customer Help product group, the product teams responsible for driving a massive reduction in contact rate, bringing it from an all-time high early in the global Covid lockdown to the lowest level it had been in 2 years. Bringing the contact rate under control was key in allowing the company to achieve its profitability targets for the year, and we had to report results on a weekly basis to the CPO, COO, and CEO of the company.While leading Customer Help, I built a strong working relationship between Customer Service and Product, which had historically been strained. Led cross-functional standups where we got all teams to understand and focus on metrics, and initiated and executed cross-functional initiatives which allowed us to drive the level of impact we had on contact rate.Expanded from leading the Customer Help group to leading the Customer Engagement group, with four product teams responsible for increasing customer loyalty, communicating about transfers, and ensuring they can get the right help when needed.Line managed a team of five Product Managers and Business Analysts, onboarding four of them remotely.Played a significant role in interviewing and hiring as we added 15 product managers to the team.Led the launch of Bill Payments for India - the first new payment type that had been launched in over a year.
  • Global App Testing
    Senior Data Product Manager
    Global App Testing Apr 2019 - Oct 2019
    London, Greater London, Gb
    Transformed a siloed research and development team with no visibility across the business into a high-performing cross functional-team within the wider product organisation, with transparency across the business about projects and their impactDefined a strategic direction for the team based on R&D projects that had been completed, extensive discussions with senior company stakeholders, analysis of customer feedback and competitive research. Presented this strategic vision in an Amazon-style press release to build an understanding of the direction we could go. This resulted in a major shift in focus for the company strategy toward building a more automated and scalable productBuilt out a more detailed plan around achieving the high-level scalable product, highlighting the different areas of focus that could be looked at, and the dependencies that likely existedIn selecting focusses for quarterly work I balanced long-term strategic direction with a short-term need to address pressing customer problems, prioritising a radical change toward improving test creation process rather than automation of test execution (which was what the founders initially believed we should focus on), delivering the first major change to this process since the product was built and massively reducing the time and effort required from customers in this processPushed for my role to be more strategic and as a result, pushed the product organisation toward taking a longer-term view on work rather than primarily being reactive and driven by desires of the foundersEvaluated, selected, and implemented BI vendor for the company
  • Global App Testing
    Data Product Manager
    Global App Testing Oct 2018 - Apr 2019
    London, Greater London, Gb
  • Deliveroo
    Product Manager - Growth Marketing
    Deliveroo Sep 2017 - Oct 2018
    Blackfriars, England, Gb
    Built new multi-disciplinary product team, coordinating across the existing digital marketing team, data scientists, and engineers to acquire and retain more profitable customersWorked with Marketing to expand a test-and-learn approach to as many areas of marketing as possible, pushing spend away from underperforming marketing channels, and enabling benchmarking of performance across different campaigns. This resulted in a similar approach being adopted across the company for assessing and prioritising budget allocation across all initiativesExperimented with new marketing channels, including implementing a Google Maps integration which led to a 2% increase in web traffic with no attached cost to DeliverooBuilt the ability to use stepped vouchers on the member referral programme to improve the profitability of this programme, and experimented across different values and number of steps to establish the impacts changes to these have on the number of new customers, customer profitability, and fraudWorked closely with commercial and legal teams to land and enable a data-sharing partnership with a leading global fast-food brand, unlocking access to working with them in AustraliaParticipated in interviews and hiring decisions across data science, engineering, and marketing for roles ranging from junior to director-level
  • Deliveroo
    Growth Data Scientist
    Deliveroo May 2017 - Sep 2017
    Blackfriars, England, Gb
    Proposed and implemented geographical testing of marketing initiatives, measuring the impact they had on customer acquisition and retention. This resulted in a multi-million pound shift of spend between marketing channels, enabling the company to hit aggressive customer growth goals while moving toward profitabilityDeveloped and productionised a Customer Lifetime Value model which was used to evaluate the effectiveness of all Marketing and Growth initiatives across the companyWorked across marketing, operations, and customer support to understand how to put customer lifetime value model into use
  • Tesco Plc
    Lead Marketing Scientist
    Tesco Plc Jul 2016 - May 2017
    Welwyn Garden City, Hertfordshire, Gb
    • Develop and implement a bespoke algorithmic attribution methodology to provide an improved view of marketing channel performance• Updated and now manage the geographical marketing testing programme across digital marketing channels, finding impactful tests of online marketing, implementing them and then analysing results and presenting these back to the business • Provide guidance and expertise around data science and statistics to other teams conducting A/B tests
  • Marks And Spencer
    Insight Analyst
    Marks And Spencer Sep 2015 - Jul 2016
    London, London, Gb
    • Serve as internal analytics consultant for the M&S digital operations team• Provide advice to members of the business around the best way to use data and analytics, as well as what methods might be possible and appropriate• Encourage understanding and adoption of machine learning techniques throughout the business• Primarily use SQL queries in Oracle and Impala, R, and Spotfire to conduct analysis.
  • Thomson Reuters
    Business Intelligence Analyst
    Thomson Reuters Sep 2012 - Aug 2015
    • Created dashboards and reports in Microsoft Reporting Services and Business Objects to effectively visualize data and provide insight to members of the business• Wrangled data and developed ETL packages in Microsoft Integration Services to allow for fast and effective reporting• Performed ad-hoc analysis to provide statistical backing for management decisions• Acted as the main point of contact for the business regarding web analytics and reporting• Provided business analysis and performance testing for all changes to the data warehouse and reporting capabilities in an agile project environment
  • Ballet Eddy Toussaint De Montreal
    Ballet Dancer
    Ballet Eddy Toussaint De Montreal Jan 2011 - Feb 2012
    • Trained daily with the other members of the ballet company• Danced in several performances with the company
  • Mcgill University
    Health Economics Research Assistant
    Mcgill University May 2009 - Aug 2009
    Montreal, Qc, Ca
    • Used STATA software to explore differences in provincial healthcare utilization levels• Theorized causal factors for differences in healthcare utilization between provinces• Researched provincial processes for setting procedure prices to allow for further research into possible methods to reduce utilization disparities between provinces
  • Encana
    Analyst Summer Intern
    Encana May 2007 - Aug 2008
    Calgary, Ab, Ca
    • Digitized hundreds of pages worth of paper contracts• Created an Excel program to use the digitized contracts to recreate vendor invoices for auditing• Provided analysis and visualization of previous invoices, highlighting several trends for natural gas transportation in areas such as volume shrinkage and non-gas liquid levels

Justin Sebok Skills

A/b Testing Machine Learning R Matlab Data Analysis Data Visualization Data Mining Hadoop Mapreduce Java Business Intelligence Web Analytics Data Warehousing Linear Regression Logistic Regression Bayesian Methods Decision Trees Markov Chains Ssrs Sharepoint Business Analysis Microsoft Sql Server Dimensional Modeling Star Schema Oracle Sql Ssis Query Writing Microsoft Excel Powerpoint Microsoft Word Outlook Statistics Economics Econometrics Financial Analysis English Etl Data Modeling

Justin Sebok Education Details

  • Royal Holloway, University Of London
    Royal Holloway, University Of London
    Data Science And Analytics
  • Southern Alberta Institute Of Technology (Sait)
    Southern Alberta Institute Of Technology (Sait)
    Business Intelligence: Data Analysis And Reporting
  • Mcgill University
    Mcgill University
    Economics

Frequently Asked Questions about Justin Sebok

What company does Justin Sebok work for?

Justin Sebok works for Volume

What is Justin Sebok's role at the current company?

Justin Sebok's current role is VP Product & Operations at Volume.

What is Justin Sebok's email address?

Justin Sebok's email address is ju****@****gill.ca

What is Justin Sebok's direct phone number?

Justin Sebok's direct phone number is +4484350*****

What schools did Justin Sebok attend?

Justin Sebok attended Royal Holloway, University Of London, Southern Alberta Institute Of Technology (Sait), Mcgill University.

What skills is Justin Sebok known for?

Justin Sebok has skills like A/b Testing, Machine Learning, R, Matlab, Data Analysis, Data Visualization, Data Mining, Hadoop, Mapreduce, Java, Business Intelligence, Web Analytics.

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